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18
DEVELOPING AND
NURTURING INTERESTING
AND RESEARCHABLE IDEAS
KATHRYN R. WENTZEL
University of Maryland, College Park
A
quick search of the Internet would
suggest that ideas can easily be devel-
oped into something great; simply “tear
them apart,” “keep it simple,” “play with them,”
“find courage,” “stay loose,” or “ask a child.”
Yet when confronted with actually needing to
develop a new and interesting idea, the task can
quickly become quite daunting and often frus-
trating. Ask a student to come up with a new
idea, and the first response is often panic. Ask
a seasoned researcher, and the response is as
likely to be “Call me later” as it is to be “When
can we start?” The simple truth is that coming
up with good ideas is not a simple task, and
the strategies for doing so are likely to be more
complex than a set of motivational catchphrases
might suggest. However, useful strategies for
finding interesting and researchable ideas do
exist. As a way of illustrating how to develop
interesting research questions, this chapter
describes how my own ideas concerning goal
setting, peer relationships, and teacher caring
have evolved over time. In this description,
strategies that have proven to be useful for moti-
vating innovative thinking, as well as for pro-
viding new perspectives on old ideas, are
presented. Although it would be tempting to
claim that these strategies have always been
used in deliberate fashion throughout my
research career, they have not. However, they
represent ways in which I have thought about
and developed new ideas for research.
The chapter begins with a description of three
specific strategies for finding interesting ideas:
challenging theoretical assumptions, document-
ing the published literature, and generating new
variables. Next, illustrations of how to use these
strategies to develop ideas in the area of goal
setting, peer relationships, and teacher caring are
presented. The chapter ends with reflections on
some basic principles for developing interesting
ideas. Throughout this chapter, the focus of
discussion is on “interesting” ideas. This focus
reflects the fact that a good idea is one that is
interesting enough to motivate a researcher to do
something with it and also is interesting enough
to motivate others to pay attention to it.
FINDING INTERESTING IDEAS: DEVELOPING
METHODS TO TAME THE MADNESS
What makes an idea interesting? How does
one go about developing an interesting research
315
question or hypothesis? Unfortunately, there
are not quick and easy answers to these ques-
tions. However, there are several characteristics
of good ideas to keep in mind when searching
for that perfect idea. First, the best ideas are
always those that have a high degree of personal
interest; ideas to guide empirical study must be
motivating enough to sustain interest throughout
the often long and arduous research process.
Without this level of personal investment,
research can quickly become a tiresome chore.
Therefore, the first prerequisite for identifying
interesting ideas is to discern what is fascinating
and intriguing on a personal level.
In addition, however, what makes a ques-
tion interesting also depends on the research
audience. Indeed, the ability to convince others
that something is interesting lies at the core of
any successful idea. For the most part, research
ideas and questions are likely to be interesting to
other scholars if they address puzzling issues or
unsolved mysteries (e.g., why do girls tend to
earn higher grades than boys but do not score
higher than them on standardized tests?) or if
they support a set of theoretical assumptions
that have been the source of intellectual debate
(e.g., males are predisposed to developing
more complex math skills than are females).
Questions and ideas are likely to be interesting
to teachers and educators if they lead to concrete
solutions to difficult educational problems
(e.g., how to motivate boys and girls equally to
engage them in classroom activities). Finally,
research ideas and questions are interesting
to policymakers if they have the potential to
support political agendas (e.g., do boys and girls
learn better in coed classrooms than in single-
sex classrooms?) or speak to long-standing
social issues (e.g., does learning in coed class-
rooms level the playing field for females enter-
ing the workforce?).
Finding these interesting questions, however,
is not an easy task. Knowing which puzzles are
currently engaging other scholars or what types
of instructional issues are posing challenges for
teachers takes work and more than a cursory
knowledge of the field. For instance, deciding to
study sex differences in learning requires at least
a core knowledge of the literature on motivation
and cognitive development as well as an under-
standing of the literature that has documented
sex differences in the past. Identification of
theoretical perspectives that might explain
these differences is also a prerequisite for devel-
oping an interesting idea to guide research.
Unfortunately, all of this knowledge cannot
be acquired in a short amount of time. Indeed,
an initial search of the relevant databases might
lead to quick abandonment of an idea if the
result of the search is hundreds of abstracts on
a topic.
There are several strategies, however, that
can help to impose an order on a corpus of
empirical findings and that ultimately can lead
to interesting and researchable questions. These
strategies involve identifying the theoretical
assumptions that guide current research on a
topic, systematically documenting published
findings, and generating new variables. In the
following sections, each of these strategies is
described in turn with examples of how it has
been used in work on classroom goals and peer
relationships.
Identifying Theoretical Assumptions
Thinking about and challenging theoretical
assumptions is perhaps the most difficult yet
fruitful strategy to employ in generating new
and interesting ideas for research. At the outset,
it is necessary to identify the prevailing theo-
retical perspectives or assumptions that guide
thinking about educational issues. Deciding
what these are is often easier said than done
because it is common for researchers to design
studies without a theoretical basis—or, if con-
ceptual models are cited in support of research,
it is rare for researchers to test them formally.
Therefore, it is left to the reader to discern the
underlying assumptions guiding research on a
topic. Although this might seem like a daunting
task, quite often theoretical assumptions can be
determined by simply applying common sense
or the “What would your grandmother say?”
rule. Indeed, simply talking to someone outside
of the field about what others are studying and
how they are going about it is likely to uncover
important underlying assumptions and thereby
help to generate new ideas and perspectives on a
topic.
A good example of how to use this rule
comes from my own work on the number and
316–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
types of goals that students pursue when
they are at school (Wentzel, 1989). During
the 1980s,’ most researchers interested in moti-
vation at school were investigating students’
desires to achieve a standard of academic excel-
lence, either by mastering a task or by demon-
strating ability to others (e.g., Dweck & Leggett,
1988; Nicholls, 1984). The common wisdom
was that an understanding of these two orienta-
tions toward achievement would explain acade-
mic performance. This assumption, however,
did not seem to ring true for all students. First, it
seemed to me that being a successful student
sometimes required more than just attention to
learning and doing well academically. Personal
recollections of life in high school also sug-
gested that even the best students often put
significant amounts of effort into accomplishing
things other than academics while they are at
school. Conversations with family members and
friends who were not studying educational psy-
chology confirmed that being successful in
school involved much more than academic pur-
suits. Therefore, as described in greater detail
in a later section, I began to think about alterna-
tives to the underlying assumptions that seemed
to be guiding this work. If students pursue more
than just academic goals at school, what are
these goals and how might they also contribute
to academic success?
A different tactic for challenging assump-
tions is to begin by identifying one’s own
theoretical or philosophical inclinations and
considering how the application of a personal
worldview might change the way in which a
topic is studied. To illustrate, one can start by
asking broad theoretical questions relevant to a
topic. Is learning and change a fairly linear and
additive process, or is change the result of com-
plex interacting systems that create nonlinear
patterns of growth? How would a constructivist
(e.g., Piaget, 1965) or a social learning theo-
rist (Bandura, 1986) describe change over time?
The answers to these types of questions are
likely to provide contrasting approaches to a
problem. For example, a constructivist perspec-
tive on the classroom goal issue would be to
focus on those things that children are intrinsi-
cally interested in doing; if the belief is that
social influences are central to development,
then thinking about the expectations that adults
impose on children with regard to schooling
would be a logical place to start. Regardless of
which perspectives guide one’s thinking, some
new and interesting ideas are bound to develop
if the status quo is challenged from a unique set
of personal beliefs.
Documenting Published Findings
Perhaps the most straightforward strategy for
organizing the literature on a topic is to docu-
ment what has been done, with whom, and
how. The identification of what has been accom-
plished makes it a relatively simple task to think
about what still needs to be done. Ultimately, a
topic needs to be narrowed to a point where
the amount of information can be organized
efficiently. At the outset, however, a fairly broad
question should guide a search (e.g., are peer
relationships related to academic achieve-
ment?). A novice to this area would first want
to read widely and become familiar with the
common questions and issues pertaining to peer
relationships at school as well as how studies
typically are conducted. For instance, a good
start would be to document information on sam-
ple characteristics, independent and dependent
variables, measures, designs, and relevant find-
ings. Once a basic overview of the field has been
achieved, the search can be narrowed to answer
a more specific question. For example, ideas can
be generated from a subset of studies defined by
age groups or specific sample characteristics (e.g.,
how are peer relationships related to achieve-
ment during middle childhood?), methodologies
(e.g., how are peer relationships, as operational-
ized in terms of sociometric status group mem-
bership, related to academic achievement?), or
designs (e.g., how do peer relationships predict
achievement over time?).
Table 18.1 illustrates how to document the
literature to answer this question: Are peer rela-
tionships related to academic achievement? The
“data” shown in the table reflect a fairly broad
search of the literature, with the exception that
peer relationships are defined exclusively by
social acceptance and sociometric status group
membership (for excellent examples of this
strategy, see Newcomb, Bukowski, & Pattee,
1993; Parker & Asher, 1987). As shown in the
table, every study can be described as a function
Developing and Nurturing Interesting and Researchable Ideas–•–317
of sample characteristics, measures of indepen-
dent and dependent variables, control variables,
research design, and basic findings. By docu-
menting these characteristics for each study, it
becomes fairly easy to determine what has been
done and how it has been done to answer the
question. In the case of 12 studies on peer
relationships and achievement, samples ranged
from kindergartners to high school students. A
range of measures has been used to assess peer
acceptance, including peer nominations of
classmates who they like and dislike, peer rat-
ings of how much they like their classmates,
sociometric status groupings (Asher & Dodge,
318–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
Table 18.1 Documenting the Literature: How Are Peer Relationships Related to Achievement?
Study
1
2
3
4
5
6
7
8
9
10
11
12
Sample
Characteristics
Preschoolers
and 4th- to
6th-graders
2nd- to
7th-graders
2nd- and
5th-graders
3rd-graders
Kindergarten
Kindergartners
and 2nd-
and 3rd-
graders
3rd- and 7th-
graders and
high school
students
7th- and 12th-
grade whites
and African
Americans
4th-, 7th-, and
10th-graders
4th-graders
6th- and
7th-graders
4th- and
9th-graders
Relationship
Assessment
Observations
Peer ratings
Status groups
Status groups
Status groups
Status groups
Peer
nominations
Peer
nominations
Peer
nominations
Teacher rating
Peer, teacher
ratings
Peer rating,
nominations
Achievement
Assessment
IQ test
Standardized
Academic
behavior
Standardized
Teacher ratings
Standardized
Composite
Grades
Standardized
Standardized
GPA
GPA
Control
Variables
Sex
Sex
Sex
None
Sex
None
None
Sex, race
None
None
Sex, SES
None
Design
Longitudinal
Longitudinal
Correlational
Correlational
Longitudinal
Longitudinal
Longitudinal
Correlational
Correlational
Correlational
Longitudinal
Longitudinal
Resultsa
*
*
*
*
*
*
*
*
*
*
*
*
NOTE: The information presented in this table is representative of empirical findings on this topic. More than 60 studies have
been published in this area.
a. An asterisk (*) indicates that the relation between peer relationships and achievement was significant.
1986), and teacher ratings of how well students
are accepted by their classmates. Similarly, a
range of measures has been used to assess
achievement, including standardized test scores,
classroom grades, teacher ratings of academic
success, and peer ratings of academic success.
When included, control variables have consisted
of demographic characteristics such as sex
and race. Nearly half of the studies followed
students over time, and in all but 2 cases peer
acceptance was related significantly to academic
achievement, regardless of whether assessments
were made concurrently or longitudinally.
How might this exercise uncover intriguing
puzzles that provide the basis for interesting
ideas and research questions? A quick look at
Table 18.1 leads to several conclusions about
research on peer relationships and achievement.
First, research in this area has been conducted
on students of all ages. Second, all researchers
have operationalized peer relationships in terms
of peer acceptance/rejection or sociometric
status groups, although multiple methods and
informants have been used. Similarly, academic
achievement has been operationalized in several
ways using multiple informants. Despite these
variations in methodologies, the group of stud-
ies presented in the table provides resounding
evidence of a significant relation between
peer acceptance and academic performance,
such that well-accepted children at all ages
perform at higher levels than do children who
are rejected by their peers. Moreover, this rela-
tion is stable over time.
At first glance, one might conclude that
there is not much left to be done on this topic.
However, the basic strategy should be to begin
simply by filling in the remaining gaps. For
instance, based on the data shown in Table 18.1,
it might seem expeditious to consider additional
control variables that could explain the signifi-
cant relations between peer relationships and
achievement. However, if researchers had
focused on only one age or racial group, then
a potentially interesting extension of this
literature would be to create questions or hypo-
theses concerning ways in which multiple
age or racial groups might moderate the rela-
tion between peer relationships and achieve-
ment. Similarly, methodological puzzles would
arise if findings had been significant for
teacher-assessed acceptance but not peer-
assessed acceptance. If this had been the case,
then an interesting follow-up question might
focus on further explicating the contrasting per-
spectives on social acceptance offered by peers
and teachers. If results had differed as a func-
tion of how the dependent variable was mea-
sured, then interesting hypotheses could be
developed concerning the competencies required
to perform well on teacher-developed tests ver-
sus standardized tests and how these might be
differentially related to peer relationships.
In summary, regardless of the topic of inter-
est, organizational charts similar to Table 18.1
can be created to provide an excellent overview
of a field of study. A careful examination of the
table should yield valuable information about
where the field has been and where it has yet
to go. Using this strategy to uncover gaps in the
literature is certain to generate a few new and
interesting ideas for further study. If, however, a
search ends with a robust set of findings (e.g.,
those shown in Table 18.1) and identification of
additional interesting questions proves to be
elusive, then an additional strategy would be to
reorganize the data using a “variable” approach.
This strategy for generating interesting ideas is
described next.
Generating New Variables
Generating new variables to formulate new
and interesting ideas requires the same basic
review of the literature that is necessary to doc-
ument published findings as is shown in Table
18.1. However, this third strategy has as its start-
ing point the three types of variables described
in Bronfenbrenner’s (1989) person–process–
context model for designing research. In
Bronfenbrenner’s formulation, these are vari-
ables that have the potential to influence devel-
opment and change over time. Person variables
refer to characteristics of the individual such as
IQ, temperament, and other attributes believed
to be relatively stable over time. Context vari-
ables refer to social address or environmental
factors such as socioeconomic status, family
size, racial group, parents’ educational attain-
ment, and neighborhood type. Process variables
refer to the mechanisms that produce change
such as the quality of instruction, communication
Developing and Nurturing Interesting and Researchable Ideas–•–319
patterns, observational learning, and matura-
tion; theoretical assumptions about develop-
ment and change are the best source of process
variables.
Table 18.2 shows how the data organized in
Table 18.1 can be reorganized in terms of person–
process–context variables. From this new per-
spective, it appears that relatively little is known
about peer relationships and achievement.
As shown, person variables have been limited
primarily to sex, process variables are virtually
unexplored, and context variables have been
limited to peer relationships as defined by social
acceptance and sociometric status. Therefore,
using this organizational structure to think about
the original question concerning peer relation-
ships and achievement, an entirely new set of
questions should emerge. What other contexts
might be important for answering the question?
How might variations across these contexts
extend understanding of how and why peer rela-
tionships might influence achievement? If the
definition of peer relationships were extended
to include friendships and cliques, would varia-
tion in findings across these different relation-
ship contexts change understanding of the
functions of peer relationships in achievement
settings? Or, how would findings change if con-
text were extended to include out-of-school as
well as in-school peer relationships or peer rela-
tionships in urban, suburban, and rural schools?
Answers to these questions would extend the
field in important ways.
Similarly, questions concerning process vari-
ables also can be raised. Could communications
from peers concerning academic values explain
these significant findings? Could opportunities
for observational learning from peers explain
variations in achievement? Additional person
variables also could enrich the story. Would con-
trolling for individual differences in motives for
social approval or for academic achievement
influence the significance of results? Would a
student’s race influence the types or qualities of
peer relationships that are developed at school,
and could this have an impact on the association
between peer relationships and achievement?
How would basic temperament influence these
relations? In short, a consideration of additional
person, process, and context variables can add
complexity to research questions and initiate the
development of new ideas in ways that a simpler
documentation of what has been published
cannot.
Bronfenbrenner (1989) also argued, how-
ever, that each type of variable by itself can
never tell the whole story. Rather, the ways in
which person, process, and context variables
interact with each other also need to be taken
into account. Although a consideration of inter-
actions complicates the picture even further, it
reflects to a greater degree how humans learn
320–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
Table 18.2 Generating New Variables: How Are Peer Relationships Related to Achievement?
Outcome Person Process Context
Achievement Sex None Peer acceptance
versus friendships
Race
Motives
Communication
In-school relationships
of values
versus out-of-school
relationships
Temperament Observational Urban relationships versus
learning rural relationships
NOTE: The first row of the table reflects variables shown in Table 18.1. Variables in italics are examples of new variables that
could be added to a study of peer relationships and achievement.
and develop in context over time. For instance,
an interesting question using an observational
learning perspective (Bandura, 1986) would be
the following: Do boys and girls react to
modeled behavior of peers in similar or different
ways? Similarly, one could ask whether behav-
ior is more likely to be observed if it is modeled
by a best friend, a group of classmates, or the
highest achiever in the class or whether obser-
vational learning works better in elementary
classrooms than in high school classrooms?
Finally, Bronfenbrenner reminds us that devel-
opment and change are not static processes.
Ideally, research designs should be able to
account for consistency and change in persons,
processes, and contexts over time. An illustra-
tive question would be the following: Does a
peer relationship need to be stable for a certain
amount of time before it has an influence on a
student’s level of achievement? Ideas and ques-
tions concerning time-related issues are certain
to have interesting implications for theory as
well as practice.
The use of a variable generation strategy
enables the identification of a nearly limitless
number of new and interesting ideas for research.
Indeed, by now a researcher could have a list
containing hundreds of interesting questions
about peer relationships and achievement. The
researcher’s eyes may have glazed over, and he
or she might have no idea of how to proceed.
How can all of these possibilities help to iden-
tify an interesting question that can be addressed
in a single program of research? How does one
go about designing a study that takes all of these
issues into account? It is clear that all possible
questions cannot be answered in one study. As
noted at the beginning of this chapter, a good
place to start is by taking note of ideas that spark
personal interest. If only one new thing could be
learned about peer relationships and achieve-
ment, then what should it be? Other questions
can always be tackled later.
Summary
Three strategies that can facilitate the devel-
opment of new and interesting ideas for research
have been described. The first strategy requires
careful consideration of the underlying theoreti-
cal assumptions used to guide work on a topic.
The second strategy entails an in-depth docu-
mentation of what has been published. Finally,
systematic generation of person, process, and
context variables can extend research in myriad
ways. Is one strategy better than another? Each
strategy is useful in its own right, but these
strategies can also be used in conjunction with
each other to create new directions for research.
At the simplest level, a researcher’s strategies
should result in information that will help him
or her to refine current understanding of a topic
by filling in the gaps and extending an avenue of
research to its next logical step. Breaking new
ground requires a more sophisticated and inno-
vative look at the data by challenging assump-
tions or creating a more complex model of
person, process, and context variables.
STRATEGIES IN ACTION:
PUTTING THEM TO THE TEST
Perhaps the best way of illustrating the utility
of each strategy is to describe how it has been
implemented in a program of research. The
following are brief accounts of how interesting
questions have been developed in three inter-
related areas using each of the strategies just
described.
Challenging Theoretical
Assumptions: What Is a Goal?
Questioning theoretical assumptions and
turning them upside down to create new and
interesting questions for research is challenging.
However, do not shy away from attempting to
do so; simple ideas, if they are new and unex-
plored, can go a long way. In my own experi-
ence, at least two factors have supported new
thinking about theoretical issues: gaining com-
petence in one theoretical perspective and then
integrating principles from multiple perspec-
tives. In what follows, I illustrate how I came to
ask the following questions. Do students simply
want to achieve a goal to do well academically,
or do they pursue multiple goals while they are
at school? Are academic goals the only ones
important for understanding the effects of moti-
vation on performance, or might social goals
also be important? These two fairly simple
Developing and Nurturing Interesting and Researchable Ideas–•–321
questions have served as a basis for numerous
studies over the years.
Like many students, I began my graduate
work with multiple interests, wanting to study
achievement motivation, gender differences,
and social development. Having taken first a
course on motivation, I quickly began reading
everything I could find on the topic, especially
work that focused on gender differences and
socialization processes. Being interested in
history, I also discovered the work of David
McClelland and Eleanor Maccoby, giants in
their respective fields of motivation and social
development. From McClelland’s (1987) work,
I learned about the conceptual roots of current
perspectives on achievement motivation, includ-
ing the notion that motivation to achieve involves
reaching standards of excellence. In addition,
however, McClelland demonstrated that individ-
uals can have multiple motives, including social
needs, and that achievement motives can be
“socialized” in adults by way of direct inter-
vention. Specific socialization strategies, as
described by McClelland, were creating a social
environment marked by warmth, as well as by
social and emotional support, and communicat-
ing expectations for reaching one’s full potential
(McClelland, 1965).
Maccoby’s work focused on family social-
ization theory (e.g., Maccoby & Martin, 1983).
Maccoby also wrote extensively on the develop-
ment of sex differences, including differences in
boys’and girls’motivation and intellectual func-
tioning (Maccoby, 1966). Of particular interest
was her suggestion that boys and girls might be
motivated to achieve different things, with girls
being more interested than boys in pursuing
social outcomes and in achieving academically
for social reasons. From her work, I also gained
exposure to the literature on parents’ sociali-
zation of children and ways in which to think
about social factors that might contribute to dif-
ferences in academic achievement. What was
particularly intriguing was that both scholars—
McClelland and Maccoby—discussed socializa-
tion in very similar terms, even though they were
talking about very different contexts (families
vs. business). In addition, both McClelland
and Maccoby proposed that individuals are moti-
vated to pursue social as well as achievement-
related goals.
While reading about motivation and social-
ization, I also was introduced to a unique set of
theoretical principles from developmental sys-
tems theory (Ford & Ford, 1987) that stood in
stark contrast to many of those principles guid-
ing work on motivation. For example, like many
motivational theorists, systems theorists view
behavior as goal directed, that is, having dir-
ection and purpose and being under the control
and regulation of the individual. However,
from a systems perspective, the context of goal-
directed behavior, especially when considered
in terms of hierarchically organized systems
(e.g., family, peer group, school), was essential
for understanding its origins. An additional sys-
tems concept was that competence was a reflec-
tion of an equilibrium established between the
individual and the environment (Bronfenbrenner,
1989; Ford, 1992). Finally, the notion of
equifinality—that is, that different and multiple
goals can serve the same purpose—provided fur-
ther impetus for the idea that a variety of goals
might explain achievement-related outcomes.
Over the years, this unique set of know-
ledge bases has contributed to the development
of interesting and researchable ideas con-
cerning motivation and adjustment to school.
McClelland’s work had demonstrated that
people strive to fulfill multiple motives (includ-
ing social motives), Maccoby argued convinc-
ingly that there might be individual differences
in the goals that children pursue at school, and
systems concepts described competence in terms
of the pursuit of multiple goals that resulted in
person–environment fit. From the intersection
of these multiple perspectives came several
related ideas concerning students’ classroom
goals. First, it seemed to be useful to adopt a
definition of school-related goals that allowed
for the pursuit of more than one goal at a time
and that included nonacademic outcomes.
Indeed, the prevailing definition of achievement
goals at the time was that students pursued one
of two orthogonal goals that reflected either
superior performance or mastery of a task (e.g.,
Dweck & Leggett, 1988). Second, if students
pursued multiple goals at school, then it also
seemed reasonable to expect that teachers
wanted their students to achieve multiple goals
that reflected social outcomes as well as acade-
mic outcomes. Finally, inserting the notion of
322–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
person–environment fit into the mix, it seemed
reasonable to think that students might be most
successful at school when the set of goals they
pursued overlapped significantly with those that
teachers wanted them to pursue.
From this initial set of ideas, I designed a dis-
sertation on multiple goals and achievement
(Wentzel, 1989) and began a career of studying
the role of multiple goals in students’ academic
success, including the role of social goals and
social competence in understanding children’s
adjustment to school. What made these ideas
interesting to me? For the most part, they posed
interesting puzzles because they were based on
a set of assumptions about why children succeed
at school that differed from those guiding other
research on motivation. What made these ideas
interesting to others? At one level, they reflected
common wisdom. My own experience and that
of others suggested that students do pursue mul-
tiple goals at school. In addition, it was not
difficult to find classroom teachers who would
confirm that student demonstration of compe-
tent social behavior was a high priority in the
classroom. From a scholarly perspective, the
notion that people pursue multiple goals was
certainly not new, nor was the notion that students
might pursue social goals (Maehr, 1983). How-
ever, few scholars had studied the multiple goals
of schoolchildren or empirically assessed social
goals as part of a more complex profile of school-
related goals. Therefore, it is possible that my
introduction to these ideas came at a time when
the field needed a fresh look at an enduring
problem.
In summary, finding new and interesting
ideas by questioning theoretical assumptions
and common practice can be facilitated by develop-
ing extensive background knowledge on a topic
and looking for ways in which multiple per-
spectives or disciplines intersect. In addition, it
is always prudent to trust personal experience,
talk to others, and think about what your grand-
mother would say.
Documenting the Literature:
How Are Peer Relationships
Related to Academic Achievement?
What if achieving theoretical insight and
creativity proves to be too difficult? My work
on peer relationships provides a good example
of how to develop new and interesting questions
without tackling theoretical abstractions. I
embarked on a project to study peer relation-
ships at school while working as a postdoctoral
fellow. Knowing relatively little about peer rela-
tionships, I began by reading widely in the area
to develop a baseline of knowledge. This initial
exposure to the topic revealed several issues.
First, the work on this topic was fairly atheoret-
ical; research was primarily descriptive, docu-
menting correlates of peer acceptance/rejection
and sociometric status group membership. In
addition, the findings were extremely consis-
tent (e.g., Newcomb et al., 1993), indicating that
popular and well-accepted students, when
compared with average-status peers, are more
cooperative, helpful, and sociable; demonstrate
better leadership skills; and are more self-assertive,
whereas low-accepted and rejected students
tend to be less compliant; less self-assured; less
sociable; and more aggressive, disruptive, and
withdrawn. In addition, although researchers in
this area did not seem to be particularly inter-
ested in school-related outcomes, many of them
had documented that rejected or low-accepted
children tended to have poor academic records
(e.g., Austin & Draper, 1984).
This link to achievement led to a more
focused interest in why peer relationships might
be related to academic performance, and I began
documenting the published research on this
narrowed topic. My efforts resulted in a table
that was more extensive than, but highly similar
to, Table 18.1. Peer acceptance and rejection, as
well as popular and rejected sociometric status,
had been related consistently to academic out-
comes, regardless of methods used or sources
of information. Therefore, the evidence indi-
cated a very robust phenomenon. What intrigued
me, however, was that studies that included con-
trol or mediating variables that might explain
this relation were rare; in the absence of theoret-
ical perspectives, there was little empirical evi-
dence to explain why this relation might exist. I
had found a puzzle to solve.
Two additional pieces of evidence con-
tributed to my first study of this problem.
First, Parker and Asher’s (1987) review of the
literature on peer rejection presented the
intriguing notion that peer rejection might place
Developing and Nurturing Interesting and Researchable Ideas–•–323
children at risk for two reasons: either (a)
because not being liked might actually cause
the development of undesirable outcomes over
time or (b) because what a rejected child is like
(a relatively stable characteristic) might lead to
long-term negative consequences. In the first
case, peer rejection would have a causal influ-
ence on an outcome such as achievement. In the
second case, peer rejection would simply be a
correlate of achievement, with a second factor
having causal influence on both rejection and
academic performance.
If the second model was correct, then what
underlying characteristic(s) might be related to
both peer rejection and academic achievement?
Knowing that aggression and prosocial forms
of behavior were strong correlates of peer rejec-
tion and acceptance, respectively, I then
reviewed the literature on behavioral correlates
of academic achievement. I found overwhelm-
ing evidence for a negative association between
aggression and achievement, and from my ear-
lier work on multiple goals I knew there was
a positive association between prosocial and
socially responsible forms of behavior and
achievement (Wentzel, 1991b). Therefore, I
extended the findings in Table 18.1 by adding
classroom behavioral styles and their corre-
sponding goals as intervening variables that
might explain the relation between peer status
and academic achievement. A simplified model
that guided the resulting study is shown in
Figure 18.1.
The results of this study indicated that for
middle school students, demonstrations of
socially responsible behavior in the classroom
could explain significant relations between peer
sociometric status and academic achievement,
even when controlling for variables such as IQ,
sex, ethnicity, school absence, and family struc-
ture (Wentzel, 1991a). In addition, the relation
between peer status and classroom behavior
could be explained, in part, by the social goals
that students pursued at school. In short, the
findings of the study extended the literature by
identifying potential mediators of the relation
between peer sociometric status and academic
achievement. Therefore, of interest to the field
was empirical evidence to support the incidental
model described by Parker and Asher (1987), and
part of a puzzle would be solved. Of unique
interest to me was additional evidence that
social factors (peer relationships, social goals,
and classroom behavior) could have a signifi-
cant impact on the academic lives of students.
A second example of how to develop ideas
based on documentation and then extension of
the literature comes from a follow-up study on
peer relationships (Wentzel & Caldwell, 1997).
In this case, a variable generation approach
provided the primary impetus for the ideas guid-
ing the study. Having already documented the
324–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
Prosocial &
Responsible
Behavior
GPA
Goals
Peer status
Figure 18.1 Model of Peer Status in Relation to Academic Achievement
NOTE: GPA = grade point average.
literature on peer acceptance and achievement,
the initial thinking for this second study began
with a consideration of person, process, and
context variables (see the first row of Table
18.2). From this perspective, the field appeared
to be wide open for additional research. We first
considered contextual factors that might add to
the story of peer relationships and achievement.
As noted earlier, a number of interesting con-
texts could be examined in this regard. We
chose simply to expand the types of peer rela-
tionship contexts to include friendships and
peer groups; to that point, no studies had
reported on multiple peer contexts in relation to
academic achievement. Adding additional peer
contexts was potentially interesting because
different processes of influence would be
implied if some were significantly related to
achievement and others were not. We also con-
sidered the school that students attended as a
context and included samples from two differ-
ent schools.
In the first study of peer relationships and
achievement described earlier, behavioral styles
were added as a person variable. In this new study,
emotional distress was included as an additional
mediator between peer relationships and achieve-
ment. Of interest here was the possibility that
the quality of peer relationships might directly
influence the emotional well-being of a student;
in turn, emotional well-being might influence
behavior as well as academic outcomes. We did
not include process variables. However, we did
include a time dimension by following students
over a 2-year period. This allowed us to draw
some conclusions concerning the stability of
predictors and outcomes over time and concern-
ing the correlates of change. Therefore, by con-
sidering new variables, we developed a study
that involved a relatively simple but new and
potentially important extension of the literature.
Our new set of person, process, and context vari-
ables is shown in Table 18.3.
In summary, I have illustrated how docu-
menting published work and generating new
variables led to several new ideas concerning
the peer relationship–achievement connection.
At the outset, a significant amount of back-
ground reading resulted in a fairly focused ques-
tion about peer relationships and achievement
to guide a systematic documentation of the
literature (e.g., Table 18.1). In addition, I used
what I knew best—the literature on motivation
and achievement—to bring a fresh perspective
to something about which I knew relatively
little. Finally, once some familiarity with the litera-
ture had been gained, a variable approach pro-
vided the impetus to consider additional person
and context variables. A third illustration of how
to formulate and develop new and interesting
ideas reflects the use of all three strategies. In
this case, the key to developing an interesting
question was the fact that some ideas simply
need time to develop and mature.
Let It Stew: How Do Teachers “Care”?
This final idea has to do with the notion of a
caring teacher—how teacher caring is translated
into practice and how it motivates students
Developing and Nurturing Interesting and Researchable Ideas–•–325
Table 18.3 Generating New Variables: A Follow-Up Study on Peer
Relationships and Achievement
Outcome Person Process Context
Achievement Sex None Peer acceptance
versus friendships
versus cliques
Behavioral styles
Emotional distress School
NOTE: Variables were generated for Wentzel and Caldwell (1997).
to engage in the social and intellectual life of
the classroom. The roots of this idea began
immediately after graduate school while I was
working on a project relating parent–child rela-
tionships and characteristics of family systems
to school-related behavior and achievement.
The work was highly complementary to my
training in systems theory and allowed me to
learn about the social and familial antecedents
of adolescents’classroom behavior. At that time,
it struck me that teachers were rarely included
in studies of parental influence on children’s
adjustment to school but that they might play an
important socialization role by either comple-
menting or countering parental and family
influences. Knowing little about research on
teachers, I began collecting articles that
explored teacher predictors of achievement
as well as parent predictors of achievement.
Most of this work, however, focused on parental
involvement and home–school connections and
did not explicate processes by which teachers
might have a social impact on student outcomes
independently of parents. Consequently, the
idea was set aside, and work on peer socializa-
tion and school adjustment began.
While working on the peer–achievement
connection, however, I began to include addi-
tional measures in my studies that reflected two
social ways in which teachers might influence
student motivation and achievement: by provid-
ing social support and by liking a student.
Indeed, it seemed reasonable that if perceptions
of social support from peers and how much
peers liked a student were related to motivation
and achievement, then social acceptance and
approval from teachers might influence students
in similar ways. The inclusion of these variables
yielded two interesting findings. First, middle
school teachers and peers tended to like the same
students with one exception, namely that
students who were sociometrically neglected
(i.e., students who were not well liked but also
were not particularly disliked by their peers)
were liked by teachers most; these students also
were the highest achievers (Wentzel & Asher,
1995). Therefore, at least for some students,
levels of support and acceptance from peers
could not explain academic excellence. Second,
I found that when levels of social support from
families, peers, and teachers were taken into
account simultaneously, the pathway from
teachers’ social support to student achievement
was different from the pathways from parental
and peer social support to student achievement
(Wentzel, 1998). Teachers’social support seemed
to have a greater impact on students’interest and
motivation for schoolwork, whereas parent and
peer social support seemed to have the strongest
relation to students’ levels of emotional distress.
In short, something about the social nature of
teaching provided students with unique experi-
ences relevant for understanding motivation and
achievement.
This new information helped to refine my
earlier interest in teachers by focusing on the
notion of social support. A review and documen-
tation of the published literature indicated that
several researchers had examined social support
from teachers in relation to student motivation
and achievement (e.g., Goodenow, 1993). One
outcome of this review, however, was an obser-
vation that nearly all of the studies had employed
similar measures of social support. These mea-
sures generally asked students how much they
thought their teachers cared about them. In this
case, my review uncovered a conceptual puzzle:
How were students defining the word “care,” and
what did it mean when students said that their
teachers cared about them? Rather than trying
to come up with a conceptual definition on
my own, I asked students to provide a definition
by generating characteristics of teachers who
care about them and of teachers who do not care
about them (Wentzel, 1997).
To make sense of the qualitative responses
generated by students, I had to develop a coding
scheme to analyze the data. While I read about
the construct of caring, it became evident that
many of the scholars writing in this area (e.g.,
Noddings, 1992) were describing aspects
of effective parenting. Around the same time,
I came across an article by Maccoby (1992)
that described Kurt Lewin’s work on leadership
styles and group processes with school-age boys
(Lewin, Lippitt & White, 1939). In her article,
Maccoby noted how Lewin’s ideas about warm,
democratic, and authoritative leadership styles
served as the foundation for subsequent studies
of families, including the research on parenting
styles (Baumrind, 1971). What struck me at the
time was the fact that much of what we knew
326–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
about effective parenting was in fact based on a
set of fairly generic social processes that could
also describe effective strategies for any adult,
including teachers, in working with children.
This insight prompted me to use the parenting
dimensions described by Baumrind (1971) to
develop a coding scheme for the responses
about caring from my middle school parti-
cipants. Based on extensive observations of
parents and children, Baumrind concluded that
specific dimensions of parent–child interactions
could reliably predict children’s social, emo-
tional, and cognitive competencies. These dimen-
sions reflect consistent enforcement of rules,
expectations for self-reliance and self-control,
solicitation of children’s opinions and feel-
ings, and expressions of warmth and approval.
It seemed reasonable to think that teachers inter-
acted with their students along similar dimen-
sions. The result was a set of categories that fit
the data in a reliable and meaningful way
(Wentzel, 1997).
The logical next step was to replicate and
extend these findings to see whether this set of
teacher characteristics predicted students’ social
and academic competencies in ways predicted
by parenting dimensions. Using a variable
generation strategy, I also considered addi-
tional person and context variables. I included
students’ beliefs about control as a person vari-
able because my previous studies had identified
these beliefs as correlates of classroom goal pur-
suit. In addition, others’ previous work had indi-
cated that associations between parenting styles
and child outcomes might be moderated by race
(Steinberg, Dornbusch, & Brown, 1992). There-
fore, this additional context variable also was
included in the study. Findings indicated that the
teaching dimensions reminiscent of parenting
styles explained significant amounts of variance
in middle school students’ social and academic
goals, classroom behavior, and academic achieve-
ment (Wentzel, 2002). In addition, race and sex
did not moderate these relations.
To some researchers in the field, this study
might have seemed like a very novel and innov-
ative approach to studying classroom processes
in relation to student outcomes. From my
perspective, however, the study was a natural
extension of years of reading, thinking, and
conducting research on goal setting, social
relationships, and academic achievement. In
fact, the findings of this study have already
served as the basis for further consideration of
person, process, and context variables relevant
to understanding teacher effectiveness. Indeed,
new person variables could be added to examine
the role of individual differences in moderating
the effects of teacher characteristics of student
motivation. Additional process variables that
might interact with teaching dimensions to
influence social and academic engagement (e.g.,
instructional techniques) also could be included.
Finally, new context variables, such as subject
areas (e.g., mathematics, social studies), class
size, and school climate, could be explored. My
choice was to add a context I now knew much
about—peer relationships. This focused my think-
ing on issues of generalizability of the teacher
effectiveness dimensions and how to refine them
to include processes relevant to peer socialization
practices as well as teacher socialization practices.
A new model of classroom “affordances,” shown
in Figure 18.2, is currently serving as a foundation
for a next round of studies examining the joint
contribution of teacher and peer provisions to
students’ self-processes and motivation at differ-
ent grade levels (Wentzel, 2004).
SUMMARY AND CONCLUSIONS
As a way of summarizing the suggestions pre-
sented in this chapter, I now offer a set of guid-
ing principles that I have gleaned along the
way. These reflect the basic elements from
which interesting ideas are built: expertise, hard
work, and perspective taking.
Become an Expert: Cultivate
Unique Talents and Skills
For any given topic, there can be as many
new ideas and variations on a theme as there
are people to contribute. Interesting ideas, how-
ever, are unique in that they are built on a level
of expertise that allows them not only to stand
out but also to withstand challenges and coun-
terarguments from others. Therefore, the devel-
opment of background knowledge and some
core competencies is a necessary first step to
finding interesting ideas. In short, idea-generating
Developing and Nurturing Interesting and Researchable Ideas–•–327
talents will be a product of those things that are
understood and known best. Whether interests
concern socialization processes, educational
leadership, classroom instruction, or qualitative
interviewing techniques, the quality of ideas
will reflect the amount of work and time taken
to develop an area of expertise.
In addition to developing expertise, the idea-
generating strategies that will be most useful over
time will be those that reflect personal problem-
solving styles and levels of comfort with taking
intellectual risks. Problem-solving talents might lie
in bringing people together to generate collabora-
tive ideas rather than “going it alone,” in identify-
ing essential incremental steps to solving one
seemingly intractable problem, or in challenging
the status quo to uncover hidden assumptions.
Similarly, ideas might come not from questioning
theoretical assumptions but rather from challenging
methodological traditions or applying new statisti-
cal techniques or designs to old problems. Indeed,
many theoretical advances have come from the
development of new methodologies and ways of
assessing phenomena. In all cases, however, a solid
foundation of knowledge and expertise is essential
for the development of interesting and new ideas.
Commit to It: Do It
The underlying key to success at anything
is hard work, persistence, and a determination
to make it work. Likewise, the generation of
interesting ideas reflects a commitment to work-
ing on a problem despite setbacks or periodic lack
of inspiration. Ideas need to be constantly tinkered
with, rebuilt, and polished over time. As noted
earlier, interesting ideas also come from knowing
what has been done, what has been discarded,
what is taken for granted, what is in vogue, and what
ideas others are working on currently. The only
way of knowing all of these things is to engage in
a process of constant intellectual renewal—read
everything possible, talk to people, and listen
closely to what others have to say. In addition, it
is worth remembering that knowing comes from
doing, even if some efforts are more successful
than others. Indeed, not all research is published
in top journals; in fact, not everything that is pub-
lished will even be read by someone other than the
journal editor and a few reviewers. However, the
more ideas that are generated and put to the test
empirically, the more likely it is that some ideas
that are truly interesting will be produced. Finally,
inherent in the notion of commitment is the real-
ity that things take time. New and interesting ideas
are rarely formed at the outset. In fact, some may
take years to develop to a point where they are
tenable. Let them stew and let them grow; their
time will come.
Take the Other Perspective
In this chapter, I have focused mostly on how
to develop ideas from the perspective of the
328–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
Social-Motivational
Processes Provisions of:
• Emotional support
• Expectations and values
• Help
• Safety
Self-Processes
• Efficacy
• Control beliefs
• Reasons for behavior
• Affect
Goal
Pursuit
Figure 18.2 Model of Teacher and Peer Provisions Supporting Classroom Goal Pursuit
SOURCE: Reprinted from Advances in Child Development and Behavior (Vol. 32), K. R. Wentzel, “Understanding classroom
competence: The role of social–motivational and self-processes,” 2004, p. 216, with permission from Elsevier.
researcher. However, what might be profoundly
interesting to one researcher and seem like the
best idea the field has seen in years might seem
trivial or inconsequential to other researchers.
Even when an idea seems to be absolutely bril-
liant, others still must be convinced; trying to
“sell a better mousetrap” is a difficult chore.
Making ideas interesting to others requires
communicating a vision in ways that are under-
standable and acceptable to those who probably
do not view the world through the same lens.
Therefore, the selling of good ideas requires the
same patience and persistence as did the devel-
opment of the idea itself.
The art of framing ideas in ways that will
be interesting to others also requires knowing
one’s audience and being sensitive to the ideas
of many other scholars that might contradict
one’s own. It is necessary to explain ideas in the
language of other researchers, describe them in
ways so that they become extensions of what
has come before, and articulate ways in which
other perspectives might contribute to their
further development. The goal should be to con-
tribute to the collective wisdom as much as pos-
sible. It is also worth noting that scholars are
likely to interpret a new idea in ways that are
simply incorrect. Moreover, they will use their
interpretations to support new directions in their
own work. In those instances, it is best to con-
sider that perhaps the most interesting and suc-
cessful ideas are those that challenge others
to think creatively and in new ways within their
own frames of reference, even if their inter-
pretations are not what were intended.
In conclusion, throughout this chapter I have
offered strategies that might prove to be useful
for generating new and interesting ideas. These
strategies entail challenging theoretical assump-
tions, documenting the published literature, and
generating new variables. Although the deliber-
ate and systematic use of these strategies is likely
to be most useful for new scholars and for those
who wish to extend their work to new areas,
these strategies also may be useful for estab-
lished researchers who wish to review where
they have been and think about what to do next.
Indeed, challenging personal assumptions, doc-
umenting what one has accomplished so far, and
considering variables that have not been studied
are likely to provide a fresh look to any program
of research. In addition, it has been suggested
that idea-generating talents are likely to be a
product of those things that bring personal
enjoyment and reflect areas of expertise. Good
ideas also are more often the result of hard work
and persistence than of some innate talent or one
brilliant moment of insight; the development of
ideas should be an ongoing process, not a prod-
uct. Finally, good ideas are those that have been
made acceptable to those who have not previ-
ously considered them. As Mark Twain once
observed, “The man with a new idea is a crank
until the idea succeeds.” I hope that these sug-
gestions will contribute to the development of
many interesting and successful ideas.
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330–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS

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8 DEVELOPING AND NURTURING INTERESTING AND RESEARCHABLE IDEAS

  • 1. 18 DEVELOPING AND NURTURING INTERESTING AND RESEARCHABLE IDEAS KATHRYN R. WENTZEL University of Maryland, College Park A quick search of the Internet would suggest that ideas can easily be devel- oped into something great; simply “tear them apart,” “keep it simple,” “play with them,” “find courage,” “stay loose,” or “ask a child.” Yet when confronted with actually needing to develop a new and interesting idea, the task can quickly become quite daunting and often frus- trating. Ask a student to come up with a new idea, and the first response is often panic. Ask a seasoned researcher, and the response is as likely to be “Call me later” as it is to be “When can we start?” The simple truth is that coming up with good ideas is not a simple task, and the strategies for doing so are likely to be more complex than a set of motivational catchphrases might suggest. However, useful strategies for finding interesting and researchable ideas do exist. As a way of illustrating how to develop interesting research questions, this chapter describes how my own ideas concerning goal setting, peer relationships, and teacher caring have evolved over time. In this description, strategies that have proven to be useful for moti- vating innovative thinking, as well as for pro- viding new perspectives on old ideas, are presented. Although it would be tempting to claim that these strategies have always been used in deliberate fashion throughout my research career, they have not. However, they represent ways in which I have thought about and developed new ideas for research. The chapter begins with a description of three specific strategies for finding interesting ideas: challenging theoretical assumptions, document- ing the published literature, and generating new variables. Next, illustrations of how to use these strategies to develop ideas in the area of goal setting, peer relationships, and teacher caring are presented. The chapter ends with reflections on some basic principles for developing interesting ideas. Throughout this chapter, the focus of discussion is on “interesting” ideas. This focus reflects the fact that a good idea is one that is interesting enough to motivate a researcher to do something with it and also is interesting enough to motivate others to pay attention to it. FINDING INTERESTING IDEAS: DEVELOPING METHODS TO TAME THE MADNESS What makes an idea interesting? How does one go about developing an interesting research 315
  • 2. question or hypothesis? Unfortunately, there are not quick and easy answers to these ques- tions. However, there are several characteristics of good ideas to keep in mind when searching for that perfect idea. First, the best ideas are always those that have a high degree of personal interest; ideas to guide empirical study must be motivating enough to sustain interest throughout the often long and arduous research process. Without this level of personal investment, research can quickly become a tiresome chore. Therefore, the first prerequisite for identifying interesting ideas is to discern what is fascinating and intriguing on a personal level. In addition, however, what makes a ques- tion interesting also depends on the research audience. Indeed, the ability to convince others that something is interesting lies at the core of any successful idea. For the most part, research ideas and questions are likely to be interesting to other scholars if they address puzzling issues or unsolved mysteries (e.g., why do girls tend to earn higher grades than boys but do not score higher than them on standardized tests?) or if they support a set of theoretical assumptions that have been the source of intellectual debate (e.g., males are predisposed to developing more complex math skills than are females). Questions and ideas are likely to be interesting to teachers and educators if they lead to concrete solutions to difficult educational problems (e.g., how to motivate boys and girls equally to engage them in classroom activities). Finally, research ideas and questions are interesting to policymakers if they have the potential to support political agendas (e.g., do boys and girls learn better in coed classrooms than in single- sex classrooms?) or speak to long-standing social issues (e.g., does learning in coed class- rooms level the playing field for females enter- ing the workforce?). Finding these interesting questions, however, is not an easy task. Knowing which puzzles are currently engaging other scholars or what types of instructional issues are posing challenges for teachers takes work and more than a cursory knowledge of the field. For instance, deciding to study sex differences in learning requires at least a core knowledge of the literature on motivation and cognitive development as well as an under- standing of the literature that has documented sex differences in the past. Identification of theoretical perspectives that might explain these differences is also a prerequisite for devel- oping an interesting idea to guide research. Unfortunately, all of this knowledge cannot be acquired in a short amount of time. Indeed, an initial search of the relevant databases might lead to quick abandonment of an idea if the result of the search is hundreds of abstracts on a topic. There are several strategies, however, that can help to impose an order on a corpus of empirical findings and that ultimately can lead to interesting and researchable questions. These strategies involve identifying the theoretical assumptions that guide current research on a topic, systematically documenting published findings, and generating new variables. In the following sections, each of these strategies is described in turn with examples of how it has been used in work on classroom goals and peer relationships. Identifying Theoretical Assumptions Thinking about and challenging theoretical assumptions is perhaps the most difficult yet fruitful strategy to employ in generating new and interesting ideas for research. At the outset, it is necessary to identify the prevailing theo- retical perspectives or assumptions that guide thinking about educational issues. Deciding what these are is often easier said than done because it is common for researchers to design studies without a theoretical basis—or, if con- ceptual models are cited in support of research, it is rare for researchers to test them formally. Therefore, it is left to the reader to discern the underlying assumptions guiding research on a topic. Although this might seem like a daunting task, quite often theoretical assumptions can be determined by simply applying common sense or the “What would your grandmother say?” rule. Indeed, simply talking to someone outside of the field about what others are studying and how they are going about it is likely to uncover important underlying assumptions and thereby help to generate new ideas and perspectives on a topic. A good example of how to use this rule comes from my own work on the number and 316–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
  • 3. types of goals that students pursue when they are at school (Wentzel, 1989). During the 1980s,’ most researchers interested in moti- vation at school were investigating students’ desires to achieve a standard of academic excel- lence, either by mastering a task or by demon- strating ability to others (e.g., Dweck & Leggett, 1988; Nicholls, 1984). The common wisdom was that an understanding of these two orienta- tions toward achievement would explain acade- mic performance. This assumption, however, did not seem to ring true for all students. First, it seemed to me that being a successful student sometimes required more than just attention to learning and doing well academically. Personal recollections of life in high school also sug- gested that even the best students often put significant amounts of effort into accomplishing things other than academics while they are at school. Conversations with family members and friends who were not studying educational psy- chology confirmed that being successful in school involved much more than academic pur- suits. Therefore, as described in greater detail in a later section, I began to think about alterna- tives to the underlying assumptions that seemed to be guiding this work. If students pursue more than just academic goals at school, what are these goals and how might they also contribute to academic success? A different tactic for challenging assump- tions is to begin by identifying one’s own theoretical or philosophical inclinations and considering how the application of a personal worldview might change the way in which a topic is studied. To illustrate, one can start by asking broad theoretical questions relevant to a topic. Is learning and change a fairly linear and additive process, or is change the result of com- plex interacting systems that create nonlinear patterns of growth? How would a constructivist (e.g., Piaget, 1965) or a social learning theo- rist (Bandura, 1986) describe change over time? The answers to these types of questions are likely to provide contrasting approaches to a problem. For example, a constructivist perspec- tive on the classroom goal issue would be to focus on those things that children are intrinsi- cally interested in doing; if the belief is that social influences are central to development, then thinking about the expectations that adults impose on children with regard to schooling would be a logical place to start. Regardless of which perspectives guide one’s thinking, some new and interesting ideas are bound to develop if the status quo is challenged from a unique set of personal beliefs. Documenting Published Findings Perhaps the most straightforward strategy for organizing the literature on a topic is to docu- ment what has been done, with whom, and how. The identification of what has been accom- plished makes it a relatively simple task to think about what still needs to be done. Ultimately, a topic needs to be narrowed to a point where the amount of information can be organized efficiently. At the outset, however, a fairly broad question should guide a search (e.g., are peer relationships related to academic achieve- ment?). A novice to this area would first want to read widely and become familiar with the common questions and issues pertaining to peer relationships at school as well as how studies typically are conducted. For instance, a good start would be to document information on sam- ple characteristics, independent and dependent variables, measures, designs, and relevant find- ings. Once a basic overview of the field has been achieved, the search can be narrowed to answer a more specific question. For example, ideas can be generated from a subset of studies defined by age groups or specific sample characteristics (e.g., how are peer relationships related to achieve- ment during middle childhood?), methodologies (e.g., how are peer relationships, as operational- ized in terms of sociometric status group mem- bership, related to academic achievement?), or designs (e.g., how do peer relationships predict achievement over time?). Table 18.1 illustrates how to document the literature to answer this question: Are peer rela- tionships related to academic achievement? The “data” shown in the table reflect a fairly broad search of the literature, with the exception that peer relationships are defined exclusively by social acceptance and sociometric status group membership (for excellent examples of this strategy, see Newcomb, Bukowski, & Pattee, 1993; Parker & Asher, 1987). As shown in the table, every study can be described as a function Developing and Nurturing Interesting and Researchable Ideas–•–317
  • 4. of sample characteristics, measures of indepen- dent and dependent variables, control variables, research design, and basic findings. By docu- menting these characteristics for each study, it becomes fairly easy to determine what has been done and how it has been done to answer the question. In the case of 12 studies on peer relationships and achievement, samples ranged from kindergartners to high school students. A range of measures has been used to assess peer acceptance, including peer nominations of classmates who they like and dislike, peer rat- ings of how much they like their classmates, sociometric status groupings (Asher & Dodge, 318–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS Table 18.1 Documenting the Literature: How Are Peer Relationships Related to Achievement? Study 1 2 3 4 5 6 7 8 9 10 11 12 Sample Characteristics Preschoolers and 4th- to 6th-graders 2nd- to 7th-graders 2nd- and 5th-graders 3rd-graders Kindergarten Kindergartners and 2nd- and 3rd- graders 3rd- and 7th- graders and high school students 7th- and 12th- grade whites and African Americans 4th-, 7th-, and 10th-graders 4th-graders 6th- and 7th-graders 4th- and 9th-graders Relationship Assessment Observations Peer ratings Status groups Status groups Status groups Status groups Peer nominations Peer nominations Peer nominations Teacher rating Peer, teacher ratings Peer rating, nominations Achievement Assessment IQ test Standardized Academic behavior Standardized Teacher ratings Standardized Composite Grades Standardized Standardized GPA GPA Control Variables Sex Sex Sex None Sex None None Sex, race None None Sex, SES None Design Longitudinal Longitudinal Correlational Correlational Longitudinal Longitudinal Longitudinal Correlational Correlational Correlational Longitudinal Longitudinal Resultsa * * * * * * * * * * * * NOTE: The information presented in this table is representative of empirical findings on this topic. More than 60 studies have been published in this area. a. An asterisk (*) indicates that the relation between peer relationships and achievement was significant.
  • 5. 1986), and teacher ratings of how well students are accepted by their classmates. Similarly, a range of measures has been used to assess achievement, including standardized test scores, classroom grades, teacher ratings of academic success, and peer ratings of academic success. When included, control variables have consisted of demographic characteristics such as sex and race. Nearly half of the studies followed students over time, and in all but 2 cases peer acceptance was related significantly to academic achievement, regardless of whether assessments were made concurrently or longitudinally. How might this exercise uncover intriguing puzzles that provide the basis for interesting ideas and research questions? A quick look at Table 18.1 leads to several conclusions about research on peer relationships and achievement. First, research in this area has been conducted on students of all ages. Second, all researchers have operationalized peer relationships in terms of peer acceptance/rejection or sociometric status groups, although multiple methods and informants have been used. Similarly, academic achievement has been operationalized in several ways using multiple informants. Despite these variations in methodologies, the group of stud- ies presented in the table provides resounding evidence of a significant relation between peer acceptance and academic performance, such that well-accepted children at all ages perform at higher levels than do children who are rejected by their peers. Moreover, this rela- tion is stable over time. At first glance, one might conclude that there is not much left to be done on this topic. However, the basic strategy should be to begin simply by filling in the remaining gaps. For instance, based on the data shown in Table 18.1, it might seem expeditious to consider additional control variables that could explain the signifi- cant relations between peer relationships and achievement. However, if researchers had focused on only one age or racial group, then a potentially interesting extension of this literature would be to create questions or hypo- theses concerning ways in which multiple age or racial groups might moderate the rela- tion between peer relationships and achieve- ment. Similarly, methodological puzzles would arise if findings had been significant for teacher-assessed acceptance but not peer- assessed acceptance. If this had been the case, then an interesting follow-up question might focus on further explicating the contrasting per- spectives on social acceptance offered by peers and teachers. If results had differed as a func- tion of how the dependent variable was mea- sured, then interesting hypotheses could be developed concerning the competencies required to perform well on teacher-developed tests ver- sus standardized tests and how these might be differentially related to peer relationships. In summary, regardless of the topic of inter- est, organizational charts similar to Table 18.1 can be created to provide an excellent overview of a field of study. A careful examination of the table should yield valuable information about where the field has been and where it has yet to go. Using this strategy to uncover gaps in the literature is certain to generate a few new and interesting ideas for further study. If, however, a search ends with a robust set of findings (e.g., those shown in Table 18.1) and identification of additional interesting questions proves to be elusive, then an additional strategy would be to reorganize the data using a “variable” approach. This strategy for generating interesting ideas is described next. Generating New Variables Generating new variables to formulate new and interesting ideas requires the same basic review of the literature that is necessary to doc- ument published findings as is shown in Table 18.1. However, this third strategy has as its start- ing point the three types of variables described in Bronfenbrenner’s (1989) person–process– context model for designing research. In Bronfenbrenner’s formulation, these are vari- ables that have the potential to influence devel- opment and change over time. Person variables refer to characteristics of the individual such as IQ, temperament, and other attributes believed to be relatively stable over time. Context vari- ables refer to social address or environmental factors such as socioeconomic status, family size, racial group, parents’ educational attain- ment, and neighborhood type. Process variables refer to the mechanisms that produce change such as the quality of instruction, communication Developing and Nurturing Interesting and Researchable Ideas–•–319
  • 6. patterns, observational learning, and matura- tion; theoretical assumptions about develop- ment and change are the best source of process variables. Table 18.2 shows how the data organized in Table 18.1 can be reorganized in terms of person– process–context variables. From this new per- spective, it appears that relatively little is known about peer relationships and achievement. As shown, person variables have been limited primarily to sex, process variables are virtually unexplored, and context variables have been limited to peer relationships as defined by social acceptance and sociometric status. Therefore, using this organizational structure to think about the original question concerning peer relation- ships and achievement, an entirely new set of questions should emerge. What other contexts might be important for answering the question? How might variations across these contexts extend understanding of how and why peer rela- tionships might influence achievement? If the definition of peer relationships were extended to include friendships and cliques, would varia- tion in findings across these different relation- ship contexts change understanding of the functions of peer relationships in achievement settings? Or, how would findings change if con- text were extended to include out-of-school as well as in-school peer relationships or peer rela- tionships in urban, suburban, and rural schools? Answers to these questions would extend the field in important ways. Similarly, questions concerning process vari- ables also can be raised. Could communications from peers concerning academic values explain these significant findings? Could opportunities for observational learning from peers explain variations in achievement? Additional person variables also could enrich the story. Would con- trolling for individual differences in motives for social approval or for academic achievement influence the significance of results? Would a student’s race influence the types or qualities of peer relationships that are developed at school, and could this have an impact on the association between peer relationships and achievement? How would basic temperament influence these relations? In short, a consideration of additional person, process, and context variables can add complexity to research questions and initiate the development of new ideas in ways that a simpler documentation of what has been published cannot. Bronfenbrenner (1989) also argued, how- ever, that each type of variable by itself can never tell the whole story. Rather, the ways in which person, process, and context variables interact with each other also need to be taken into account. Although a consideration of inter- actions complicates the picture even further, it reflects to a greater degree how humans learn 320–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS Table 18.2 Generating New Variables: How Are Peer Relationships Related to Achievement? Outcome Person Process Context Achievement Sex None Peer acceptance versus friendships Race Motives Communication In-school relationships of values versus out-of-school relationships Temperament Observational Urban relationships versus learning rural relationships NOTE: The first row of the table reflects variables shown in Table 18.1. Variables in italics are examples of new variables that could be added to a study of peer relationships and achievement.
  • 7. and develop in context over time. For instance, an interesting question using an observational learning perspective (Bandura, 1986) would be the following: Do boys and girls react to modeled behavior of peers in similar or different ways? Similarly, one could ask whether behav- ior is more likely to be observed if it is modeled by a best friend, a group of classmates, or the highest achiever in the class or whether obser- vational learning works better in elementary classrooms than in high school classrooms? Finally, Bronfenbrenner reminds us that devel- opment and change are not static processes. Ideally, research designs should be able to account for consistency and change in persons, processes, and contexts over time. An illustra- tive question would be the following: Does a peer relationship need to be stable for a certain amount of time before it has an influence on a student’s level of achievement? Ideas and ques- tions concerning time-related issues are certain to have interesting implications for theory as well as practice. The use of a variable generation strategy enables the identification of a nearly limitless number of new and interesting ideas for research. Indeed, by now a researcher could have a list containing hundreds of interesting questions about peer relationships and achievement. The researcher’s eyes may have glazed over, and he or she might have no idea of how to proceed. How can all of these possibilities help to iden- tify an interesting question that can be addressed in a single program of research? How does one go about designing a study that takes all of these issues into account? It is clear that all possible questions cannot be answered in one study. As noted at the beginning of this chapter, a good place to start is by taking note of ideas that spark personal interest. If only one new thing could be learned about peer relationships and achieve- ment, then what should it be? Other questions can always be tackled later. Summary Three strategies that can facilitate the devel- opment of new and interesting ideas for research have been described. The first strategy requires careful consideration of the underlying theoreti- cal assumptions used to guide work on a topic. The second strategy entails an in-depth docu- mentation of what has been published. Finally, systematic generation of person, process, and context variables can extend research in myriad ways. Is one strategy better than another? Each strategy is useful in its own right, but these strategies can also be used in conjunction with each other to create new directions for research. At the simplest level, a researcher’s strategies should result in information that will help him or her to refine current understanding of a topic by filling in the gaps and extending an avenue of research to its next logical step. Breaking new ground requires a more sophisticated and inno- vative look at the data by challenging assump- tions or creating a more complex model of person, process, and context variables. STRATEGIES IN ACTION: PUTTING THEM TO THE TEST Perhaps the best way of illustrating the utility of each strategy is to describe how it has been implemented in a program of research. The following are brief accounts of how interesting questions have been developed in three inter- related areas using each of the strategies just described. Challenging Theoretical Assumptions: What Is a Goal? Questioning theoretical assumptions and turning them upside down to create new and interesting questions for research is challenging. However, do not shy away from attempting to do so; simple ideas, if they are new and unex- plored, can go a long way. In my own experi- ence, at least two factors have supported new thinking about theoretical issues: gaining com- petence in one theoretical perspective and then integrating principles from multiple perspec- tives. In what follows, I illustrate how I came to ask the following questions. Do students simply want to achieve a goal to do well academically, or do they pursue multiple goals while they are at school? Are academic goals the only ones important for understanding the effects of moti- vation on performance, or might social goals also be important? These two fairly simple Developing and Nurturing Interesting and Researchable Ideas–•–321
  • 8. questions have served as a basis for numerous studies over the years. Like many students, I began my graduate work with multiple interests, wanting to study achievement motivation, gender differences, and social development. Having taken first a course on motivation, I quickly began reading everything I could find on the topic, especially work that focused on gender differences and socialization processes. Being interested in history, I also discovered the work of David McClelland and Eleanor Maccoby, giants in their respective fields of motivation and social development. From McClelland’s (1987) work, I learned about the conceptual roots of current perspectives on achievement motivation, includ- ing the notion that motivation to achieve involves reaching standards of excellence. In addition, however, McClelland demonstrated that individ- uals can have multiple motives, including social needs, and that achievement motives can be “socialized” in adults by way of direct inter- vention. Specific socialization strategies, as described by McClelland, were creating a social environment marked by warmth, as well as by social and emotional support, and communicat- ing expectations for reaching one’s full potential (McClelland, 1965). Maccoby’s work focused on family social- ization theory (e.g., Maccoby & Martin, 1983). Maccoby also wrote extensively on the develop- ment of sex differences, including differences in boys’and girls’motivation and intellectual func- tioning (Maccoby, 1966). Of particular interest was her suggestion that boys and girls might be motivated to achieve different things, with girls being more interested than boys in pursuing social outcomes and in achieving academically for social reasons. From her work, I also gained exposure to the literature on parents’ sociali- zation of children and ways in which to think about social factors that might contribute to dif- ferences in academic achievement. What was particularly intriguing was that both scholars— McClelland and Maccoby—discussed socializa- tion in very similar terms, even though they were talking about very different contexts (families vs. business). In addition, both McClelland and Maccoby proposed that individuals are moti- vated to pursue social as well as achievement- related goals. While reading about motivation and social- ization, I also was introduced to a unique set of theoretical principles from developmental sys- tems theory (Ford & Ford, 1987) that stood in stark contrast to many of those principles guid- ing work on motivation. For example, like many motivational theorists, systems theorists view behavior as goal directed, that is, having dir- ection and purpose and being under the control and regulation of the individual. However, from a systems perspective, the context of goal- directed behavior, especially when considered in terms of hierarchically organized systems (e.g., family, peer group, school), was essential for understanding its origins. An additional sys- tems concept was that competence was a reflec- tion of an equilibrium established between the individual and the environment (Bronfenbrenner, 1989; Ford, 1992). Finally, the notion of equifinality—that is, that different and multiple goals can serve the same purpose—provided fur- ther impetus for the idea that a variety of goals might explain achievement-related outcomes. Over the years, this unique set of know- ledge bases has contributed to the development of interesting and researchable ideas con- cerning motivation and adjustment to school. McClelland’s work had demonstrated that people strive to fulfill multiple motives (includ- ing social motives), Maccoby argued convinc- ingly that there might be individual differences in the goals that children pursue at school, and systems concepts described competence in terms of the pursuit of multiple goals that resulted in person–environment fit. From the intersection of these multiple perspectives came several related ideas concerning students’ classroom goals. First, it seemed to be useful to adopt a definition of school-related goals that allowed for the pursuit of more than one goal at a time and that included nonacademic outcomes. Indeed, the prevailing definition of achievement goals at the time was that students pursued one of two orthogonal goals that reflected either superior performance or mastery of a task (e.g., Dweck & Leggett, 1988). Second, if students pursued multiple goals at school, then it also seemed reasonable to expect that teachers wanted their students to achieve multiple goals that reflected social outcomes as well as acade- mic outcomes. Finally, inserting the notion of 322–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
  • 9. person–environment fit into the mix, it seemed reasonable to think that students might be most successful at school when the set of goals they pursued overlapped significantly with those that teachers wanted them to pursue. From this initial set of ideas, I designed a dis- sertation on multiple goals and achievement (Wentzel, 1989) and began a career of studying the role of multiple goals in students’ academic success, including the role of social goals and social competence in understanding children’s adjustment to school. What made these ideas interesting to me? For the most part, they posed interesting puzzles because they were based on a set of assumptions about why children succeed at school that differed from those guiding other research on motivation. What made these ideas interesting to others? At one level, they reflected common wisdom. My own experience and that of others suggested that students do pursue mul- tiple goals at school. In addition, it was not difficult to find classroom teachers who would confirm that student demonstration of compe- tent social behavior was a high priority in the classroom. From a scholarly perspective, the notion that people pursue multiple goals was certainly not new, nor was the notion that students might pursue social goals (Maehr, 1983). How- ever, few scholars had studied the multiple goals of schoolchildren or empirically assessed social goals as part of a more complex profile of school- related goals. Therefore, it is possible that my introduction to these ideas came at a time when the field needed a fresh look at an enduring problem. In summary, finding new and interesting ideas by questioning theoretical assumptions and common practice can be facilitated by develop- ing extensive background knowledge on a topic and looking for ways in which multiple per- spectives or disciplines intersect. In addition, it is always prudent to trust personal experience, talk to others, and think about what your grand- mother would say. Documenting the Literature: How Are Peer Relationships Related to Academic Achievement? What if achieving theoretical insight and creativity proves to be too difficult? My work on peer relationships provides a good example of how to develop new and interesting questions without tackling theoretical abstractions. I embarked on a project to study peer relation- ships at school while working as a postdoctoral fellow. Knowing relatively little about peer rela- tionships, I began by reading widely in the area to develop a baseline of knowledge. This initial exposure to the topic revealed several issues. First, the work on this topic was fairly atheoret- ical; research was primarily descriptive, docu- menting correlates of peer acceptance/rejection and sociometric status group membership. In addition, the findings were extremely consis- tent (e.g., Newcomb et al., 1993), indicating that popular and well-accepted students, when compared with average-status peers, are more cooperative, helpful, and sociable; demonstrate better leadership skills; and are more self-assertive, whereas low-accepted and rejected students tend to be less compliant; less self-assured; less sociable; and more aggressive, disruptive, and withdrawn. In addition, although researchers in this area did not seem to be particularly inter- ested in school-related outcomes, many of them had documented that rejected or low-accepted children tended to have poor academic records (e.g., Austin & Draper, 1984). This link to achievement led to a more focused interest in why peer relationships might be related to academic performance, and I began documenting the published research on this narrowed topic. My efforts resulted in a table that was more extensive than, but highly similar to, Table 18.1. Peer acceptance and rejection, as well as popular and rejected sociometric status, had been related consistently to academic out- comes, regardless of methods used or sources of information. Therefore, the evidence indi- cated a very robust phenomenon. What intrigued me, however, was that studies that included con- trol or mediating variables that might explain this relation were rare; in the absence of theoret- ical perspectives, there was little empirical evi- dence to explain why this relation might exist. I had found a puzzle to solve. Two additional pieces of evidence con- tributed to my first study of this problem. First, Parker and Asher’s (1987) review of the literature on peer rejection presented the intriguing notion that peer rejection might place Developing and Nurturing Interesting and Researchable Ideas–•–323
  • 10. children at risk for two reasons: either (a) because not being liked might actually cause the development of undesirable outcomes over time or (b) because what a rejected child is like (a relatively stable characteristic) might lead to long-term negative consequences. In the first case, peer rejection would have a causal influ- ence on an outcome such as achievement. In the second case, peer rejection would simply be a correlate of achievement, with a second factor having causal influence on both rejection and academic performance. If the second model was correct, then what underlying characteristic(s) might be related to both peer rejection and academic achievement? Knowing that aggression and prosocial forms of behavior were strong correlates of peer rejec- tion and acceptance, respectively, I then reviewed the literature on behavioral correlates of academic achievement. I found overwhelm- ing evidence for a negative association between aggression and achievement, and from my ear- lier work on multiple goals I knew there was a positive association between prosocial and socially responsible forms of behavior and achievement (Wentzel, 1991b). Therefore, I extended the findings in Table 18.1 by adding classroom behavioral styles and their corre- sponding goals as intervening variables that might explain the relation between peer status and academic achievement. A simplified model that guided the resulting study is shown in Figure 18.1. The results of this study indicated that for middle school students, demonstrations of socially responsible behavior in the classroom could explain significant relations between peer sociometric status and academic achievement, even when controlling for variables such as IQ, sex, ethnicity, school absence, and family struc- ture (Wentzel, 1991a). In addition, the relation between peer status and classroom behavior could be explained, in part, by the social goals that students pursued at school. In short, the findings of the study extended the literature by identifying potential mediators of the relation between peer sociometric status and academic achievement. Therefore, of interest to the field was empirical evidence to support the incidental model described by Parker and Asher (1987), and part of a puzzle would be solved. Of unique interest to me was additional evidence that social factors (peer relationships, social goals, and classroom behavior) could have a signifi- cant impact on the academic lives of students. A second example of how to develop ideas based on documentation and then extension of the literature comes from a follow-up study on peer relationships (Wentzel & Caldwell, 1997). In this case, a variable generation approach provided the primary impetus for the ideas guid- ing the study. Having already documented the 324–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS Prosocial & Responsible Behavior GPA Goals Peer status Figure 18.1 Model of Peer Status in Relation to Academic Achievement NOTE: GPA = grade point average.
  • 11. literature on peer acceptance and achievement, the initial thinking for this second study began with a consideration of person, process, and context variables (see the first row of Table 18.2). From this perspective, the field appeared to be wide open for additional research. We first considered contextual factors that might add to the story of peer relationships and achievement. As noted earlier, a number of interesting con- texts could be examined in this regard. We chose simply to expand the types of peer rela- tionship contexts to include friendships and peer groups; to that point, no studies had reported on multiple peer contexts in relation to academic achievement. Adding additional peer contexts was potentially interesting because different processes of influence would be implied if some were significantly related to achievement and others were not. We also con- sidered the school that students attended as a context and included samples from two differ- ent schools. In the first study of peer relationships and achievement described earlier, behavioral styles were added as a person variable. In this new study, emotional distress was included as an additional mediator between peer relationships and achieve- ment. Of interest here was the possibility that the quality of peer relationships might directly influence the emotional well-being of a student; in turn, emotional well-being might influence behavior as well as academic outcomes. We did not include process variables. However, we did include a time dimension by following students over a 2-year period. This allowed us to draw some conclusions concerning the stability of predictors and outcomes over time and concern- ing the correlates of change. Therefore, by con- sidering new variables, we developed a study that involved a relatively simple but new and potentially important extension of the literature. Our new set of person, process, and context vari- ables is shown in Table 18.3. In summary, I have illustrated how docu- menting published work and generating new variables led to several new ideas concerning the peer relationship–achievement connection. At the outset, a significant amount of back- ground reading resulted in a fairly focused ques- tion about peer relationships and achievement to guide a systematic documentation of the literature (e.g., Table 18.1). In addition, I used what I knew best—the literature on motivation and achievement—to bring a fresh perspective to something about which I knew relatively little. Finally, once some familiarity with the litera- ture had been gained, a variable approach pro- vided the impetus to consider additional person and context variables. A third illustration of how to formulate and develop new and interesting ideas reflects the use of all three strategies. In this case, the key to developing an interesting question was the fact that some ideas simply need time to develop and mature. Let It Stew: How Do Teachers “Care”? This final idea has to do with the notion of a caring teacher—how teacher caring is translated into practice and how it motivates students Developing and Nurturing Interesting and Researchable Ideas–•–325 Table 18.3 Generating New Variables: A Follow-Up Study on Peer Relationships and Achievement Outcome Person Process Context Achievement Sex None Peer acceptance versus friendships versus cliques Behavioral styles Emotional distress School NOTE: Variables were generated for Wentzel and Caldwell (1997).
  • 12. to engage in the social and intellectual life of the classroom. The roots of this idea began immediately after graduate school while I was working on a project relating parent–child rela- tionships and characteristics of family systems to school-related behavior and achievement. The work was highly complementary to my training in systems theory and allowed me to learn about the social and familial antecedents of adolescents’classroom behavior. At that time, it struck me that teachers were rarely included in studies of parental influence on children’s adjustment to school but that they might play an important socialization role by either comple- menting or countering parental and family influences. Knowing little about research on teachers, I began collecting articles that explored teacher predictors of achievement as well as parent predictors of achievement. Most of this work, however, focused on parental involvement and home–school connections and did not explicate processes by which teachers might have a social impact on student outcomes independently of parents. Consequently, the idea was set aside, and work on peer socializa- tion and school adjustment began. While working on the peer–achievement connection, however, I began to include addi- tional measures in my studies that reflected two social ways in which teachers might influence student motivation and achievement: by provid- ing social support and by liking a student. Indeed, it seemed reasonable that if perceptions of social support from peers and how much peers liked a student were related to motivation and achievement, then social acceptance and approval from teachers might influence students in similar ways. The inclusion of these variables yielded two interesting findings. First, middle school teachers and peers tended to like the same students with one exception, namely that students who were sociometrically neglected (i.e., students who were not well liked but also were not particularly disliked by their peers) were liked by teachers most; these students also were the highest achievers (Wentzel & Asher, 1995). Therefore, at least for some students, levels of support and acceptance from peers could not explain academic excellence. Second, I found that when levels of social support from families, peers, and teachers were taken into account simultaneously, the pathway from teachers’ social support to student achievement was different from the pathways from parental and peer social support to student achievement (Wentzel, 1998). Teachers’social support seemed to have a greater impact on students’interest and motivation for schoolwork, whereas parent and peer social support seemed to have the strongest relation to students’ levels of emotional distress. In short, something about the social nature of teaching provided students with unique experi- ences relevant for understanding motivation and achievement. This new information helped to refine my earlier interest in teachers by focusing on the notion of social support. A review and documen- tation of the published literature indicated that several researchers had examined social support from teachers in relation to student motivation and achievement (e.g., Goodenow, 1993). One outcome of this review, however, was an obser- vation that nearly all of the studies had employed similar measures of social support. These mea- sures generally asked students how much they thought their teachers cared about them. In this case, my review uncovered a conceptual puzzle: How were students defining the word “care,” and what did it mean when students said that their teachers cared about them? Rather than trying to come up with a conceptual definition on my own, I asked students to provide a definition by generating characteristics of teachers who care about them and of teachers who do not care about them (Wentzel, 1997). To make sense of the qualitative responses generated by students, I had to develop a coding scheme to analyze the data. While I read about the construct of caring, it became evident that many of the scholars writing in this area (e.g., Noddings, 1992) were describing aspects of effective parenting. Around the same time, I came across an article by Maccoby (1992) that described Kurt Lewin’s work on leadership styles and group processes with school-age boys (Lewin, Lippitt & White, 1939). In her article, Maccoby noted how Lewin’s ideas about warm, democratic, and authoritative leadership styles served as the foundation for subsequent studies of families, including the research on parenting styles (Baumrind, 1971). What struck me at the time was the fact that much of what we knew 326–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS
  • 13. about effective parenting was in fact based on a set of fairly generic social processes that could also describe effective strategies for any adult, including teachers, in working with children. This insight prompted me to use the parenting dimensions described by Baumrind (1971) to develop a coding scheme for the responses about caring from my middle school parti- cipants. Based on extensive observations of parents and children, Baumrind concluded that specific dimensions of parent–child interactions could reliably predict children’s social, emo- tional, and cognitive competencies. These dimen- sions reflect consistent enforcement of rules, expectations for self-reliance and self-control, solicitation of children’s opinions and feel- ings, and expressions of warmth and approval. It seemed reasonable to think that teachers inter- acted with their students along similar dimen- sions. The result was a set of categories that fit the data in a reliable and meaningful way (Wentzel, 1997). The logical next step was to replicate and extend these findings to see whether this set of teacher characteristics predicted students’ social and academic competencies in ways predicted by parenting dimensions. Using a variable generation strategy, I also considered addi- tional person and context variables. I included students’ beliefs about control as a person vari- able because my previous studies had identified these beliefs as correlates of classroom goal pur- suit. In addition, others’ previous work had indi- cated that associations between parenting styles and child outcomes might be moderated by race (Steinberg, Dornbusch, & Brown, 1992). There- fore, this additional context variable also was included in the study. Findings indicated that the teaching dimensions reminiscent of parenting styles explained significant amounts of variance in middle school students’ social and academic goals, classroom behavior, and academic achieve- ment (Wentzel, 2002). In addition, race and sex did not moderate these relations. To some researchers in the field, this study might have seemed like a very novel and innov- ative approach to studying classroom processes in relation to student outcomes. From my perspective, however, the study was a natural extension of years of reading, thinking, and conducting research on goal setting, social relationships, and academic achievement. In fact, the findings of this study have already served as the basis for further consideration of person, process, and context variables relevant to understanding teacher effectiveness. Indeed, new person variables could be added to examine the role of individual differences in moderating the effects of teacher characteristics of student motivation. Additional process variables that might interact with teaching dimensions to influence social and academic engagement (e.g., instructional techniques) also could be included. Finally, new context variables, such as subject areas (e.g., mathematics, social studies), class size, and school climate, could be explored. My choice was to add a context I now knew much about—peer relationships. This focused my think- ing on issues of generalizability of the teacher effectiveness dimensions and how to refine them to include processes relevant to peer socialization practices as well as teacher socialization practices. A new model of classroom “affordances,” shown in Figure 18.2, is currently serving as a foundation for a next round of studies examining the joint contribution of teacher and peer provisions to students’ self-processes and motivation at differ- ent grade levels (Wentzel, 2004). SUMMARY AND CONCLUSIONS As a way of summarizing the suggestions pre- sented in this chapter, I now offer a set of guid- ing principles that I have gleaned along the way. These reflect the basic elements from which interesting ideas are built: expertise, hard work, and perspective taking. Become an Expert: Cultivate Unique Talents and Skills For any given topic, there can be as many new ideas and variations on a theme as there are people to contribute. Interesting ideas, how- ever, are unique in that they are built on a level of expertise that allows them not only to stand out but also to withstand challenges and coun- terarguments from others. Therefore, the devel- opment of background knowledge and some core competencies is a necessary first step to finding interesting ideas. In short, idea-generating Developing and Nurturing Interesting and Researchable Ideas–•–327
  • 14. talents will be a product of those things that are understood and known best. Whether interests concern socialization processes, educational leadership, classroom instruction, or qualitative interviewing techniques, the quality of ideas will reflect the amount of work and time taken to develop an area of expertise. In addition to developing expertise, the idea- generating strategies that will be most useful over time will be those that reflect personal problem- solving styles and levels of comfort with taking intellectual risks. Problem-solving talents might lie in bringing people together to generate collabora- tive ideas rather than “going it alone,” in identify- ing essential incremental steps to solving one seemingly intractable problem, or in challenging the status quo to uncover hidden assumptions. Similarly, ideas might come not from questioning theoretical assumptions but rather from challenging methodological traditions or applying new statisti- cal techniques or designs to old problems. Indeed, many theoretical advances have come from the development of new methodologies and ways of assessing phenomena. In all cases, however, a solid foundation of knowledge and expertise is essential for the development of interesting and new ideas. Commit to It: Do It The underlying key to success at anything is hard work, persistence, and a determination to make it work. Likewise, the generation of interesting ideas reflects a commitment to work- ing on a problem despite setbacks or periodic lack of inspiration. Ideas need to be constantly tinkered with, rebuilt, and polished over time. As noted earlier, interesting ideas also come from knowing what has been done, what has been discarded, what is taken for granted, what is in vogue, and what ideas others are working on currently. The only way of knowing all of these things is to engage in a process of constant intellectual renewal—read everything possible, talk to people, and listen closely to what others have to say. In addition, it is worth remembering that knowing comes from doing, even if some efforts are more successful than others. Indeed, not all research is published in top journals; in fact, not everything that is pub- lished will even be read by someone other than the journal editor and a few reviewers. However, the more ideas that are generated and put to the test empirically, the more likely it is that some ideas that are truly interesting will be produced. Finally, inherent in the notion of commitment is the real- ity that things take time. New and interesting ideas are rarely formed at the outset. In fact, some may take years to develop to a point where they are tenable. Let them stew and let them grow; their time will come. Take the Other Perspective In this chapter, I have focused mostly on how to develop ideas from the perspective of the 328–•–SECTION THREE: CHALLENGES IN FORMULATING AND FRAMING MEANINGFUL PROBLEMS Social-Motivational Processes Provisions of: • Emotional support • Expectations and values • Help • Safety Self-Processes • Efficacy • Control beliefs • Reasons for behavior • Affect Goal Pursuit Figure 18.2 Model of Teacher and Peer Provisions Supporting Classroom Goal Pursuit SOURCE: Reprinted from Advances in Child Development and Behavior (Vol. 32), K. R. Wentzel, “Understanding classroom competence: The role of social–motivational and self-processes,” 2004, p. 216, with permission from Elsevier.
  • 15. researcher. However, what might be profoundly interesting to one researcher and seem like the best idea the field has seen in years might seem trivial or inconsequential to other researchers. Even when an idea seems to be absolutely bril- liant, others still must be convinced; trying to “sell a better mousetrap” is a difficult chore. Making ideas interesting to others requires communicating a vision in ways that are under- standable and acceptable to those who probably do not view the world through the same lens. Therefore, the selling of good ideas requires the same patience and persistence as did the devel- opment of the idea itself. The art of framing ideas in ways that will be interesting to others also requires knowing one’s audience and being sensitive to the ideas of many other scholars that might contradict one’s own. It is necessary to explain ideas in the language of other researchers, describe them in ways so that they become extensions of what has come before, and articulate ways in which other perspectives might contribute to their further development. The goal should be to con- tribute to the collective wisdom as much as pos- sible. It is also worth noting that scholars are likely to interpret a new idea in ways that are simply incorrect. Moreover, they will use their interpretations to support new directions in their own work. In those instances, it is best to con- sider that perhaps the most interesting and suc- cessful ideas are those that challenge others to think creatively and in new ways within their own frames of reference, even if their inter- pretations are not what were intended. In conclusion, throughout this chapter I have offered strategies that might prove to be useful for generating new and interesting ideas. These strategies entail challenging theoretical assump- tions, documenting the published literature, and generating new variables. Although the deliber- ate and systematic use of these strategies is likely to be most useful for new scholars and for those who wish to extend their work to new areas, these strategies also may be useful for estab- lished researchers who wish to review where they have been and think about what to do next. Indeed, challenging personal assumptions, doc- umenting what one has accomplished so far, and considering variables that have not been studied are likely to provide a fresh look to any program of research. In addition, it has been suggested that idea-generating talents are likely to be a product of those things that bring personal enjoyment and reflect areas of expertise. Good ideas also are more often the result of hard work and persistence than of some innate talent or one brilliant moment of insight; the development of ideas should be an ongoing process, not a prod- uct. Finally, good ideas are those that have been made acceptable to those who have not previ- ously considered them. As Mark Twain once observed, “The man with a new idea is a crank until the idea succeeds.” I hope that these sug- gestions will contribute to the development of many interesting and successful ideas. REFERENCES Asher, S. R., & Dodge, K. A. (1986). Identifying children who are rejected by their peers. Developmental Psychology, 22, 444–449. Austin, A. B., & Draper, D. C. (1984). The relation- ship among peer acceptance, social impact, and academic achievement in middle school. American Educational Research Journal, 21, 597–604. Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Engle- wood Cliffs, NJ: Prentice Hall. Baumrind, D. (1971). Current patterns of parental authority. Developmental Psychology Monographs, 4(1, part 2). Bronfenbrenner, U. (1989). Ecological systems theory. In R. Vasta (Ed.), Annals of child development (Vol. 6, pp. 187–250). Greenwich, CT: JAI. Dweck, C. S., & Leggett, E. L. (1988). A social- cognitive approach to motivation and personal- ity. Psychological Review, 95, 256–272. Ford, M. E. (1992). Motivating humans: Goals, emotions, and personal agency beliefs. Newbury Park, CA: Sage. Ford, M. E., & Ford, D. H. (1987). Humans as self- constructing living systems: Putting the frame- work to work. Hillsdale, NJ: Lawrence Erlbaum. Goodenow, C. (1993). Classroom belonging among early adolescent students: Relationships to motivation and achievement. Journal of Early Adolescence, 13, 21–43. Lewin, K., Lippitt, R., & White, R. K. (1939). Patterns of aggressive behavior in experimentally Developing and Nurturing Interesting and Researchable Ideas–•–329
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