SlideShare a Scribd company logo
1 of 37
PDU 211 METODE PENELITIAN
ANALYZING & INTERPRETING QUANTITATIVE DATA
SEMESTER GASAL 2015/2016
FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA
KULIAH VII - 25 SEPTEMBER 2015
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA PDU 211 METODE PENELITIAN© 2015 Ardhiati
Mahasiswa memahami secara garis besar tahapan dalam proses
analisis dan interpretasi data kuantitatif;
Mahasiswa memahami prosedur untuk menganalisis data kuantitatif.
01.
02.
ONE DAY OBJECTIVES
2
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CALCULATING
STATISTICS IS
ONLY ONE STEP
IN THE PROCESS
OF ANALYZING
DATA.
THE PROCESS
3
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CALCULATING
STATISTICS IS
ONLY ONE STEP
IN THE PROCESS
OF ANALYZING
DATA.
PREPARING & ORGANIZING

THE DATA
THE PROCESS
4
ANALYZING

THE DATA
REPORTING

THE RESULT
INTERPRETING

THE RESULT
ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,

Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CALCULATING
STATISTICS IS
ONLY ONE STEP
IN THE PROCESS
OF ANALYZING
DATA.
PREPARING & ORGANIZING

THE DATA
THE PROCESS
5
ANALYZING

THE DATA
REPORTING

THE RESULT
INTERPRETING

THE RESULT
ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,

Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SCORE THE DATA DETERMINE

THE TYPES OF SCORES
SELECT A

STATISTICAL PROGRAM
PREPARING & ORGANIZING THE DATA
6
CLEAN AND ACCOUNT
FOR MISSING DATA
INPUT THE DATA
ICON CREDITS: Folder Document by parkjisun,

List Numbered by Thomas Helbig, Counting by Magicon,

Floppy Disk by Mike Wirth, Clean Database by Richard Schumann;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SCORING

THE DATA
PREPARING & ORGANIZING THE DATA
7
The researcher assigns a numeric score
(or value) to each response category for
each question on the instruments used to
collect data.
(Creswell, 2012, p. 175-176)
ICON CREDITS: Folder Document by parkjisun,

List Numbered by Thomas Helbig, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SCORING

THE DATA
Consistently score each question in this
scale using the same numbering system.
CONTINUOUS/

CATEGORICAL DATA
PREPARING & ORGANIZING THE DATA
7
The researcher assigns a numeric score
(or value) to each response category for
each question on the instruments used to
collect data.
A list of variables or questions that
indicates how the researcher will code or
score responses from instruments or
checklists.
CODEBOOK
(Creswell, 2012, p. 175-176)
ICON CREDITS: Folder Document by parkjisun,

List Numbered by Thomas Helbig, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
8
CONTINUOUS/CATEGORICAL DATA
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
9
CONTINUOUS/CATEGORICAL DATA
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
10
CODEBOOK
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
KATEGORI 1 2 3 4 5 6 7 8 9 11
ITEM Sangat
Buruk Buruk
Biasa
Saja Baik
Sangat
Baik
MISSING
DATA
JENIS
KELAMIN Laki-laki
Perem-
puan
MISSING
DATA
USIA ≤ 20
tahun
21-25
tahun
26-30
tahun
31-35
tahun
36-40
tahun
41-45
tahun
46-50
tahun
51-55
tahun
> 55
tahun
MISSING
DATA
PENDIDIKAN
TERAKHIR
Tidak
Sekolah
SD/SMP/
Sederajat
SMA/
Sederajat
Akademi
(D1, D2,
D3, D4)
Sarjana
(S1)
Master
(S2) ke
atas
MISSING
DATA
ALASAN
MEMILIH
Kemauan
sendiri
Saran
orang lain
Rujukan
dokter
Rujukan
asuransi Lain-lain
MISSING
DATA
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
DETERMINE

THE TYPES OF SCORES
PREPARING & ORGANIZING THE DATA
11
The type of score will affect how you
enter data into a computer file for
analysis.
(Creswell, 2012, p. 177-178)
ICON CREDITS: Folder Document by parkjisun,

List Numbered by Thomas Helbig, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
DETERMINE

THE TYPES OF SCORES
An individual score assigned to each
question for each participant in your study.
SINGLE-ITEM SCORES
PREPARING & ORGANIZING THE DATA
11
The type of score will affect how you
enter data into a computer file for
analysis.
The scores of an individual added over
several questions that measure the same
variable.
SUMMED SCORES
(Creswell, 2012, p. 177-178)
Scores in a quantitative study that
represent a difference or change for each
individual.
DIFFERENCE SCORES
ICON CREDITS: Folder Document by parkjisun,

List Numbered by Thomas Helbig, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
12
SINGLE-ITEM SCORES
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5
S001 Baik Biasa Saja Biasa Saja Baik Baik
S002 Sangat Baik Sangat Baik Sangat Baik Sangat Baik
S003 Baik Baik Baik Baik Baik
S004 Baik Baik Baik Biasa Saja Biasa Saja
S005 Baik Baik Baik Baik Baik
S006 Sangat Baik Sangat Baik Sangat Baik Sangat Buruk Sangat Baik
S007 Baik Baik Baik Baik Sangat Baik
S008 Baik Baik Baik Baik Baik
S009 Biasa Saja Baik Biasa Saja Buruk Biasa Saja
S010 Baik Baik Biasa Saja Biasa Saja Sangat Baik
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
13
SINGLE-ITEM SCORES
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5
S001 4 3 3 4 4
S002 5 5 11 5 5
S003 4 4 4 4 4
S004 4 4 4 3 3
S005 4 4 4 4 4
S006 5 5 5 1 5
S007 4 4 4 4 5
S008 4 4 4 4 4
S009 3 4 3 2 3
S010 4 4 3 3 5
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
13
SINGLE-ITEM SCORES
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5
S001 4 3 3 4 4
S002 5 5 11 5 5
S003 4 4 4 4 4
S004 4 4 4 3 3
S005 4 4 4 4 4
S006 5 5 5 1 5
S007 4 4 4 4 5
S008 4 4 4 4 4
S009 3 4 3 2 3
S010 4 4 3 3 5
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
14
SUMMED SCORES
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 TOTAL
S001 4 3 3 4 4 18
S002 5 5 11 5 5 20
S003 4 4 4 4 4 20
S004 4 4 4 3 3 18
S005 4 4 4 4 4 20
S006 5 5 5 1 5 21
S007 4 4 4 4 5 21
S008 4 4 4 4 4 20
S009 3 4 3 2 3 15
S010 4 4 3 3 5 19
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SELECT A

STATISTICAL PROGRAM
PREPARING & ORGANIZING THE DATA
15
The hardest part is deciding which
software package to use.
(Creswell, 2012, p. 178-179)
ICON CREDITS: Folder Document by parkjisun,

Floppy Disk by Mike Wirth, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SELECT A

STATISTICAL PROGRAM
MINITAB
PREPARING & ORGANIZING THE DATA
15
The hardest part is deciding which
software package to use.
SYSTAT
(Creswell, 2012, p. 178-179)
SPSS
JMP
SAS
ICON CREDITS: Folder Document by parkjisun,

Floppy Disk by Mike Wirth, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SELECT A

STATISTICAL PROGRAM
MICROSOFT EXCEL
PREPARING & ORGANIZING THE DATA
16
The hardest part is deciding which
software package to use.
(Creswell, 2012, p. 178-179)
ICON CREDITS: Folder Document by parkjisun,

Floppy Disk by Mike Wirth, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
INPUT

THE DATA
MICROSOFT EXCEL
PREPARING & ORGANIZING THE DATA
17
Transfering the data from the responses
on instruments to a computer file for
analysis.
(Creswell, 2012, p. 179–181)
ICON CREDITS: Folder Document by parkjisun,

Floppy Disk by Mike Wirth, Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
18
INPUT THE DATA (USING MICROSOFT EXCEL)
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CLEAN AND ACCOUNT
FOR MISSING DATA
PREPARING & ORGANIZING THE DATA
19
(Creswell, 2012, p. 181-182)
ICON CREDITS: Folder Document by parkjisun,

Clean Database by Richard Schumann; Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CLEAN AND ACCOUNT
FOR MISSING DATA
PREPARING & ORGANIZING THE DATA
19
(Creswell, 2012, p. 181-182)
The process of inspecting the data for
scores (or values) that are outside the
accepted range.
CLEANING THE DATA
Missing data may result when instrument
data is lost, individuals skip questions,
participants are absent, or individuals
refuse to complete a sensitive question.
ASSESSING MISSING DATA
ICON CREDITS: Folder Document by parkjisun,

Clean Database by Richard Schumann; Check Mark by James Cottell;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
PREPARING & ORGANIZING THE DATA
20
CLEANING THE DATA
ICON CREDIT: Folder Document by parkjisun;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CALCULATING
STATISTICS IS
ONLY ONE STEP
IN THE PROCESS
OF ANALYZING
DATA.
PREPARING & ORGANIZING

THE DATA
THE PROCESS
22
ANALYZING

THE DATA
REPORTING

THE RESULT
INTERPRETING

THE RESULT
ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,

Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
ANALYZING THE DATA
You analyze the data

to address each one

of your research questions

or hypotheses.
23
(Creswell, 2012, p. 182)
ICON CREDIT: Abacus by Mister Pixel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
A.
Relate two or more variables.
Test hypotheses about the
differences in the groups or the
relationships of variables.
Compare two or more groups on
the independent variable in
terms of the dependent variable.
Describe trends in the data to a
single variable or question on
your instrument.
B.
C.
D.
ANALYZING THE DATA
24
(Creswell, 2012, p. 182)
ICON CREDIT: Abacus by Mister Pixel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
A.
Relate two or more variables.
Test hypotheses about the
differences in the groups or the
relationships of variables.
Compare two or more groups on
the independent variable in
terms of the dependent variable.
Describe trends in the data to a
single variable or question on
your instrument.
B.
C.
D.
ANALYZING THE DATA
24
(Creswell, 2012, p. 182)
DESCRIPTIVE

STATISTICS
INFERENTIAL

STATISTICS
ICON CREDIT: Abacus by Mister Pixel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
ANALYZING THE DATA
25
(Creswell, 2012, p. 183-187)
DESCRIPTIVE

STATISTICS
VARIABILITYCENTRAL
TENDENCY
RELATIVE
STANDING
the spread of the scores
in a distribution
summary numbers that
represent a single value
in a distribution of scores
describe one score
relative to a group of
scores
ICON CREDIT: Abacus by Mister Pixel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
ANALYZING THE DATA
26
(Creswell, 2012, p. 187-192)
INFERENTIAL

STATISTICS
RELATE
VARIABLES
GROUP
COMPARISON
Continuous -

Categorical
Continuous -

Continuous
P NP NP
Categorical -
Categorical
Continuous -
Categorical
P NP NP
Pearson
Correlation
Regression
Categorical -
Categorical
Spearman
Correlation
Point-Biserial
Correlation
Phi Coefficient
t-test
Analysis of
Variance
Mann-Whitney
U
Kruskall-
Wallis
Friedman
Chi-Square
ICON CREDIT: Abacus by Mister Pixel;

from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CALCULATING
STATISTICS IS
ONLY ONE STEP
IN THE PROCESS
OF ANALYZING
DATA.
PREPARING & ORGANIZING

THE DATA
THE PROCESS
28
ANALYZING

THE DATA
REPORTING

THE RESULT
INTERPRETING

THE RESULT
ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,

Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
2.1. 3.Include language
typically used in
reporting statistical
results.
Report whether the
hypothesis test was
significant or not.
Provide important
information about

the statistical test,
given the statistics.
REPORTING THE RESULT
29
(Creswell, 2012, p. 198)ICON CREDIT: Chart by Gregor Črešnar; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
A summary of
quantitative information
presented as a chart,
graph, or picture that
shows relations among
scores or variables.
A summary of
quantitative data
organized into rows
and columns.
TABLES FIGURES
REPORTING THE RESULT
30
(Creswell, 2012, p. 196-197)
ICON CREDITS: Chart by Gregor Črešnar; Spreadsheet by dw,

Charts by Aha-Soft; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
CALCULATING
STATISTICS IS
ONLY ONE STEP
IN THE PROCESS
OF ANALYZING
DATA.
PREPARING & ORGANIZING

THE DATA
THE PROCESS
32
ANALYZING

THE DATA
REPORTING

THE RESULT
INTERPRETING

THE RESULT
ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,

Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
SUGGEST FUTURE RESEARCH
EXPLAIN WHY THE RESULT OCCUREDSUMMARIZE THE MAJOR RESULT
ADVANCE LIMITATIONS
A statement that reviews the major
conclusions to each of the research
questions or hypotheses.
Often this explanation is based on
returning to predictions made from a
theory or conceptual framework that
guided the development of research
questions or hypotheses.
Potential weaknesses or problems with
the study identified by the researcher.
Suggestions made by the researcher
about additional studies that need to be
conducted based on the results of the
present research.
INTERPRETING THE RESULT
33
(Creswell, 2012, p. 198-199)
FAKULTAS PSIKOLOGI
UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN
WANT TO KNOW MORE?
CRESWELL, J.W. (2012). EDUCATIONAL RESEARCH: PLANNING, CONDUCTING
AND EVALUATING QUANTITATIVE AND QUALITATIVE RESEARCH (4TH ED.).
BOSTON, MA: PEARSON EDUCATION, INC.

More Related Content

What's hot

Principles of Language Assessment
Principles of Language AssessmentPrinciples of Language Assessment
Principles of Language AssessmentA Faiz
 
Needs Analysis by R. Khalili
Needs Analysis by R. KhaliliNeeds Analysis by R. Khalili
Needs Analysis by R. Khalilikhaliliavatalk
 
Motivation As An Individual Difference In Sla
Motivation As An Individual Difference In SlaMotivation As An Individual Difference In Sla
Motivation As An Individual Difference In SlaDr. Cupid Lucid
 
Presentation of PhD Research Proposal (Format).ppt
Presentation of PhD Research Proposal (Format).pptPresentation of PhD Research Proposal (Format).ppt
Presentation of PhD Research Proposal (Format).pptHassanRashid51
 
Cintoh Proposal Skripsi Tugas Akhir
Cintoh Proposal Skripsi Tugas Akhir Cintoh Proposal Skripsi Tugas Akhir
Cintoh Proposal Skripsi Tugas Akhir bawon15505124020
 
Mixed methods research. newpptx
Mixed methods research. newpptxMixed methods research. newpptx
Mixed methods research. newpptxmuhammad abu bakr
 
Mixed Method Research Design
Mixed Method Research DesignMixed Method Research Design
Mixed Method Research Designbclassengdept
 
Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...
Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...
Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...PUTU EKA RESPATI
 
Testing and Evaluation Strategies in Second Language Teaching.pptx
Testing and Evaluation Strategies in Second Language Teaching.pptxTesting and Evaluation Strategies in Second Language Teaching.pptx
Testing and Evaluation Strategies in Second Language Teaching.pptxSubramanian Mani
 
Qualitative research intro
Qualitative research introQualitative research intro
Qualitative research introMisbah Iqbal
 
Rigour & robustness in research 16 april 2015
Rigour & robustness in research 16 april 2015Rigour & robustness in research 16 april 2015
Rigour & robustness in research 16 april 2015Dr. Jennifer Loke
 
Needs analysis in syllabus design.pptx
Needs analysis in syllabus design.pptxNeeds analysis in syllabus design.pptx
Needs analysis in syllabus design.pptxAREEJ ALDAEJ
 
Quantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designsQuantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designsAras Bozkurt
 

What's hot (20)

Principles of Language Assessment
Principles of Language AssessmentPrinciples of Language Assessment
Principles of Language Assessment
 
Needs Analysis by R. Khalili
Needs Analysis by R. KhaliliNeeds Analysis by R. Khalili
Needs Analysis by R. Khalili
 
Nvivo
NvivoNvivo
Nvivo
 
Motivation As An Individual Difference In Sla
Motivation As An Individual Difference In SlaMotivation As An Individual Difference In Sla
Motivation As An Individual Difference In Sla
 
Presentation of PhD Research Proposal (Format).ppt
Presentation of PhD Research Proposal (Format).pptPresentation of PhD Research Proposal (Format).ppt
Presentation of PhD Research Proposal (Format).ppt
 
Mixed method research design
Mixed method research designMixed method research design
Mixed method research design
 
Mixed Method Research Methodology
Mixed Method Research MethodologyMixed Method Research Methodology
Mixed Method Research Methodology
 
Cintoh Proposal Skripsi Tugas Akhir
Cintoh Proposal Skripsi Tugas Akhir Cintoh Proposal Skripsi Tugas Akhir
Cintoh Proposal Skripsi Tugas Akhir
 
Articulating beliefs
Articulating beliefsArticulating beliefs
Articulating beliefs
 
Mixed methods research. newpptx
Mixed methods research. newpptxMixed methods research. newpptx
Mixed methods research. newpptx
 
English for Specific Purposes
English for Specific PurposesEnglish for Specific Purposes
English for Specific Purposes
 
Mixed Method Research Design
Mixed Method Research DesignMixed Method Research Design
Mixed Method Research Design
 
Six months progress review (PhD work)
Six months progress review (PhD work)Six months progress review (PhD work)
Six months progress review (PhD work)
 
Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...
Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...
Afiksasi bahasa dayak pompakng desa penyalimau jaya kecamatan kapuas kabupate...
 
Testing and Evaluation Strategies in Second Language Teaching.pptx
Testing and Evaluation Strategies in Second Language Teaching.pptxTesting and Evaluation Strategies in Second Language Teaching.pptx
Testing and Evaluation Strategies in Second Language Teaching.pptx
 
Qualitative research intro
Qualitative research introQualitative research intro
Qualitative research intro
 
Rigour & robustness in research 16 april 2015
Rigour & robustness in research 16 april 2015Rigour & robustness in research 16 april 2015
Rigour & robustness in research 16 april 2015
 
Ppt...quanti,quali
Ppt...quanti,qualiPpt...quanti,quali
Ppt...quanti,quali
 
Needs analysis in syllabus design.pptx
Needs analysis in syllabus design.pptxNeeds analysis in syllabus design.pptx
Needs analysis in syllabus design.pptx
 
Quantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designsQuantitative, qualitive and mixed research designs
Quantitative, qualitive and mixed research designs
 

Viewers also liked

PDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsPDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsAgatha N. Ardhiati
 
Analyzing quantitative data
Analyzing quantitative dataAnalyzing quantitative data
Analyzing quantitative datamostafasharafiye
 
Analyzing quantitative
Analyzing quantitative  Analyzing quantitative
Analyzing quantitative kopidogs
 
Analyzing quantitative data
Analyzing quantitative dataAnalyzing quantitative data
Analyzing quantitative dataBing Villamor
 
Descriptivestatistics
DescriptivestatisticsDescriptivestatistics
DescriptivestatisticsCarla Piper
 
PDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchPDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchAgatha N. Ardhiati
 
Process of Conducting Research
Process of Conducting ResearchProcess of Conducting Research
Process of Conducting Researchkakalibh
 
PDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemPDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemAgatha N. Ardhiati
 
Why blogging still matters
Why blogging still mattersWhy blogging still matters
Why blogging still mattersMark Britz
 
Methods and Tools for Developing Personal Knowledge Management Skills in the ...
Methods and Tools for Developing Personal Knowledge Management Skills in the ...Methods and Tools for Developing Personal Knowledge Management Skills in the ...
Methods and Tools for Developing Personal Knowledge Management Skills in the ...Elisabetta Cigognini
 
PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...
PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...
PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...maureen07
 
Personal Knowledge Management - from you to the enterprise
Personal Knowledge Management - from you to the enterprisePersonal Knowledge Management - from you to the enterprise
Personal Knowledge Management - from you to the enterpriseSIKM
 
Perilaku Organisasi Pertemuan 1 - 2
Perilaku Organisasi Pertemuan 1 - 2Perilaku Organisasi Pertemuan 1 - 2
Perilaku Organisasi Pertemuan 1 - 2Judianto Nugroho
 
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research DesignsPDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research DesignsAgatha N. Ardhiati
 
Psikologi Industri dan Organisasi: Job Characteristic Model
Psikologi Industri dan Organisasi: Job Characteristic ModelPsikologi Industri dan Organisasi: Job Characteristic Model
Psikologi Industri dan Organisasi: Job Characteristic ModelIqbal Nugraha
 
Introduction to The World of Work
Introduction to The World of WorkIntroduction to The World of Work
Introduction to The World of WorkSeta Wicaksana
 
Metodologi penelitian multimedia
Metodologi penelitian multimediaMetodologi penelitian multimedia
Metodologi penelitian multimediadhaniari
 

Viewers also liked (20)

PDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research DesignsPDU 211 Research Methods: Quantitative & Qualitative Research Designs
PDU 211 Research Methods: Quantitative & Qualitative Research Designs
 
Analyzing quantitative data
Analyzing quantitative dataAnalyzing quantitative data
Analyzing quantitative data
 
Analyzing quantitative
Analyzing quantitative  Analyzing quantitative
Analyzing quantitative
 
Analyzing quantitative data
Analyzing quantitative dataAnalyzing quantitative data
Analyzing quantitative data
 
Descriptivestatistics
DescriptivestatisticsDescriptivestatistics
Descriptivestatistics
 
PDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting ResearchPDU 211 Research Methods: The Process of Conducting Research
PDU 211 Research Methods: The Process of Conducting Research
 
Process of Conducting Research
Process of Conducting ResearchProcess of Conducting Research
Process of Conducting Research
 
What Is Organizational Behaviour
What Is Organizational BehaviourWhat Is Organizational Behaviour
What Is Organizational Behaviour
 
PDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research ProblemPDU 211 Research Methods: Identifying a Research Problem
PDU 211 Research Methods: Identifying a Research Problem
 
Organizational
OrganizationalOrganizational
Organizational
 
Why blogging still matters
Why blogging still mattersWhy blogging still matters
Why blogging still matters
 
Methods and Tools for Developing Personal Knowledge Management Skills in the ...
Methods and Tools for Developing Personal Knowledge Management Skills in the ...Methods and Tools for Developing Personal Knowledge Management Skills in the ...
Methods and Tools for Developing Personal Knowledge Management Skills in the ...
 
Psikologi Industri
Psikologi IndustriPsikologi Industri
Psikologi Industri
 
PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...
PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...
PPT - Psikologi Industri dan Organisasi - Manajemen Kompensasi (Abigail,Laila...
 
Personal Knowledge Management - from you to the enterprise
Personal Knowledge Management - from you to the enterprisePersonal Knowledge Management - from you to the enterprise
Personal Knowledge Management - from you to the enterprise
 
Perilaku Organisasi Pertemuan 1 - 2
Perilaku Organisasi Pertemuan 1 - 2Perilaku Organisasi Pertemuan 1 - 2
Perilaku Organisasi Pertemuan 1 - 2
 
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research DesignsPDU 211 Research Methods: Mixed-Methods & Action Research Designs
PDU 211 Research Methods: Mixed-Methods & Action Research Designs
 
Psikologi Industri dan Organisasi: Job Characteristic Model
Psikologi Industri dan Organisasi: Job Characteristic ModelPsikologi Industri dan Organisasi: Job Characteristic Model
Psikologi Industri dan Organisasi: Job Characteristic Model
 
Introduction to The World of Work
Introduction to The World of WorkIntroduction to The World of Work
Introduction to The World of Work
 
Metodologi penelitian multimedia
Metodologi penelitian multimediaMetodologi penelitian multimedia
Metodologi penelitian multimedia
 

Similar to PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data

PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative DataPDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative DataAgatha N. Ardhiati
 
2017 Classroom Analytics
2017 Classroom Analytics2017 Classroom Analytics
2017 Classroom AnalyticsDylan Wan
 
Student Result Analysis System
Student Result Analysis SystemStudent Result Analysis System
Student Result Analysis SystemIRJET Journal
 
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...IRJET Journal
 
Big data project
Big data projectBig data project
Big data projectKedar Kumar
 
EDU 675 Entire Course NEW
EDU 675 Entire Course NEWEDU 675 Entire Course NEW
EDU 675 Entire Course NEWshyamuopnine
 
PDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item AnalysisPDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item AnalysisAgatha N. Ardhiati
 
Education analytics – reporting students growth using sgp model
Education analytics – reporting students growth using sgp modelEducation analytics – reporting students growth using sgp model
Education analytics – reporting students growth using sgp modeleSAT Journals
 
E. Socio-Educationa Project - Interactive Activity Group 3
E. Socio-Educationa Project - Interactive Activity Group 3E. Socio-Educationa Project - Interactive Activity Group 3
E. Socio-Educationa Project - Interactive Activity Group 3ESPE - UFA
 
A COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTION
A COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTIONA COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTION
A COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTIONIJDKP
 
Jisc learning analytics service overview Aug 2018
Jisc learning analytics service overview Aug 2018Jisc learning analytics service overview Aug 2018
Jisc learning analytics service overview Aug 2018Paul Bailey
 
EDM_IJTIR_Article_201504020
EDM_IJTIR_Article_201504020EDM_IJTIR_Article_201504020
EDM_IJTIR_Article_201504020Ritika Saxena
 
USP Sport Matters - Workshop (Sherry)
USP Sport Matters - Workshop (Sherry)USP Sport Matters - Workshop (Sherry)
USP Sport Matters - Workshop (Sherry)Emma Sherry
 
ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...
ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...
ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...IJITE
 
2011 2012 parker data analysis
2011 2012 parker data analysis 2011 2012 parker data analysis
2011 2012 parker data analysis danaberg
 
Resume (Prakhar Sachdeo updated 157)
Resume (Prakhar Sachdeo updated 157)Resume (Prakhar Sachdeo updated 157)
Resume (Prakhar Sachdeo updated 157)Prakhar Sachdeo
 

Similar to PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data (20)

PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative DataPDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
PDU 211 Research Methods: Analyzing & Interpreting Qualitative Data
 
2017 Classroom Analytics
2017 Classroom Analytics2017 Classroom Analytics
2017 Classroom Analytics
 
Student Result Analysis System
Student Result Analysis SystemStudent Result Analysis System
Student Result Analysis System
 
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...
IRJET- A Conceptual Framework to Predict Academic Performance of Students usi...
 
Big data project
Big data projectBig data project
Big data project
 
EDU 675 Entire Course NEW
EDU 675 Entire Course NEWEDU 675 Entire Course NEW
EDU 675 Entire Course NEW
 
May19 Cwms
May19 CwmsMay19 Cwms
May19 Cwms
 
PDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item AnalysisPDU 303 Psychometrics: Item Analysis
PDU 303 Psychometrics: Item Analysis
 
Education analytics – reporting students growth using sgp model
Education analytics – reporting students growth using sgp modelEducation analytics – reporting students growth using sgp model
Education analytics – reporting students growth using sgp model
 
E. Socio-Educationa Project - Interactive Activity Group 3
E. Socio-Educationa Project - Interactive Activity Group 3E. Socio-Educationa Project - Interactive Activity Group 3
E. Socio-Educationa Project - Interactive Activity Group 3
 
A COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTION
A COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTIONA COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTION
A COMPARATIVE ANALYSIS OF SELECTED STUDIES IN STUDENT PERFORMANCE PREDICTION
 
Jisc learning analytics service overview Aug 2018
Jisc learning analytics service overview Aug 2018Jisc learning analytics service overview Aug 2018
Jisc learning analytics service overview Aug 2018
 
C04622028
C04622028C04622028
C04622028
 
research-library.pptx
research-library.pptxresearch-library.pptx
research-library.pptx
 
Resume
ResumeResume
Resume
 
EDM_IJTIR_Article_201504020
EDM_IJTIR_Article_201504020EDM_IJTIR_Article_201504020
EDM_IJTIR_Article_201504020
 
USP Sport Matters - Workshop (Sherry)
USP Sport Matters - Workshop (Sherry)USP Sport Matters - Workshop (Sherry)
USP Sport Matters - Workshop (Sherry)
 
ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...
ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...
ACCEPTABILITY OF K12 SENIOR HIGH SCHOOL STUDENTS ACADEMIC PERFORMANCE MONITOR...
 
2011 2012 parker data analysis
2011 2012 parker data analysis 2011 2012 parker data analysis
2011 2012 parker data analysis
 
Resume (Prakhar Sachdeo updated 157)
Resume (Prakhar Sachdeo updated 157)Resume (Prakhar Sachdeo updated 157)
Resume (Prakhar Sachdeo updated 157)
 

More from Agatha N. Ardhiati

PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionPDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationPDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationAgatha N. Ardhiati
 
PDU 303 Psychometrics: Validity
PDU 303 Psychometrics: ValidityPDU 303 Psychometrics: Validity
PDU 303 Psychometrics: ValidityAgatha N. Ardhiati
 
PDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item ConstructionPDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item ConstructionAgatha N. Ardhiati
 
PDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test SpecificationPDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test SpecificationAgatha N. Ardhiati
 
PDU 303 Psychometrics: Construct, Dimension, & Indicators
PDU 303 Psychometrics: Construct, Dimension, & IndicatorsPDU 303 Psychometrics: Construct, Dimension, & Indicators
PDU 303 Psychometrics: Construct, Dimension, & IndicatorsAgatha N. Ardhiati
 
PDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative DataPDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative DataAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesPDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsPDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsAgatha N. Ardhiati
 
PDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataPDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataAgatha N. Ardhiati
 
PDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataPDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataAgatha N. Ardhiati
 
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...Agatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingPDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingAgatha N. Ardhiati
 
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...Agatha N. Ardhiati
 
PDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: VariabilityPDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: VariabilityAgatha N. Ardhiati
 
PDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central TendencyPDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central TendencyAgatha N. Ardhiati
 
PDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionPDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionAgatha N. Ardhiati
 

More from Agatha N. Ardhiati (20)

PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
PDU 214 Methods of Observation & Interviewing: Interviewing - Verbal & Nonver...
 
PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - IntroductionPDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
PDU 214 Methods of Observation & Interviewing: Interviewing - Introduction
 
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
PDU 214 Methods of Observation & Interviewing: Observation - Methods & Record...
 
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to ObservationPDU 214 Methods of Observation & Interviewing: Introduction to Observation
PDU 214 Methods of Observation & Interviewing: Introduction to Observation
 
PDU 303 Psychometrics: Validity
PDU 303 Psychometrics: ValidityPDU 303 Psychometrics: Validity
PDU 303 Psychometrics: Validity
 
PDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item ConstructionPDU 303 Psychometrics: Item Construction
PDU 303 Psychometrics: Item Construction
 
PDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test SpecificationPDU 303 Psychometrics: Test Specification
PDU 303 Psychometrics: Test Specification
 
PDU 303 Psychometrics: Construct, Dimension, & Indicators
PDU 303 Psychometrics: Construct, Dimension, & IndicatorsPDU 303 Psychometrics: Construct, Dimension, & Indicators
PDU 303 Psychometrics: Construct, Dimension, & Indicators
 
PDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative DataPDU 202 Qualitative Research Method: Presenting Qualitative Data
PDU 202 Qualitative Research Method: Presenting Qualitative Data
 
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & TechniquesPDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
PDU 214 Methods of Observation & Interviewing: Interviewing Skills & Techniques
 
PDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: ObservationsPDU 214 Methods of Observation & Interviewing: Observations
PDU 214 Methods of Observation & Interviewing: Observations
 
PDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative DataPDU 211 Research Methods: Collecting Qualitative Data
PDU 211 Research Methods: Collecting Qualitative Data
 
PDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative DataPDU 211 Research Methods: Collecting Quantitative Data
PDU 211 Research Methods: Collecting Quantitative Data
 
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
PDU 211 Research Methods: Specifying a Purpose and Research Questions or Hypo...
 
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
PDU 214 Methods of Observation & Interviewing: Competency Based Interview (In...
 
PDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative RecordingPDU 214 Methods of Observation & Interviewing: Narrative Recording
PDU 214 Methods of Observation & Interviewing: Narrative Recording
 
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
PDU 214 Methods of Observation & Interviewing: Introduction to Interviewing &...
 
PDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: VariabilityPDU 207 Basic Statistics: Variability
PDU 207 Basic Statistics: Variability
 
PDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central TendencyPDU 207 Basic Statistics: Central Tendency
PDU 207 Basic Statistics: Central Tendency
 
PDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency DistributionPDU 207 Basic Statistics: Frequency Distribution
PDU 207 Basic Statistics: Frequency Distribution
 

Recently uploaded

The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...Pooja Nehwal
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajanpragatimahajan3
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room servicediscovermytutordmt
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactPECB
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 

Recently uploaded (20)

The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
 
social pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajansocial pharmacy d-pharm 1st year by Pragati K. Mahajan
social pharmacy d-pharm 1st year by Pragati K. Mahajan
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
9548086042 for call girls in Indira Nagar with room service
9548086042  for call girls in Indira Nagar  with room service9548086042  for call girls in Indira Nagar  with room service
9548086042 for call girls in Indira Nagar with room service
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"Mattingly "AI & Prompt Design: The Basics of Prompt Design"
Mattingly "AI & Prompt Design: The Basics of Prompt Design"
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
Beyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global ImpactBeyond the EU: DORA and NIS 2 Directive's Global Impact
Beyond the EU: DORA and NIS 2 Directive's Global Impact
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 

PDU 211 Research Methods: Analyzing & Interpreting Quantitative Data

  • 1. PDU 211 METODE PENELITIAN ANALYZING & INTERPRETING QUANTITATIVE DATA SEMESTER GASAL 2015/2016 FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA KULIAH VII - 25 SEPTEMBER 2015
  • 2. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA PDU 211 METODE PENELITIAN© 2015 Ardhiati Mahasiswa memahami secara garis besar tahapan dalam proses analisis dan interpretasi data kuantitatif; Mahasiswa memahami prosedur untuk menganalisis data kuantitatif. 01. 02. ONE DAY OBJECTIVES 2
  • 3. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CALCULATING STATISTICS IS ONLY ONE STEP IN THE PROCESS OF ANALYZING DATA. THE PROCESS 3
  • 4. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CALCULATING STATISTICS IS ONLY ONE STEP IN THE PROCESS OF ANALYZING DATA. PREPARING & ORGANIZING
 THE DATA THE PROCESS 4 ANALYZING
 THE DATA REPORTING
 THE RESULT INTERPRETING
 THE RESULT ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,
 Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
  • 5. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CALCULATING STATISTICS IS ONLY ONE STEP IN THE PROCESS OF ANALYZING DATA. PREPARING & ORGANIZING
 THE DATA THE PROCESS 5 ANALYZING
 THE DATA REPORTING
 THE RESULT INTERPRETING
 THE RESULT ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,
 Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
  • 6. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SCORE THE DATA DETERMINE
 THE TYPES OF SCORES SELECT A
 STATISTICAL PROGRAM PREPARING & ORGANIZING THE DATA 6 CLEAN AND ACCOUNT FOR MISSING DATA INPUT THE DATA ICON CREDITS: Folder Document by parkjisun,
 List Numbered by Thomas Helbig, Counting by Magicon,
 Floppy Disk by Mike Wirth, Clean Database by Richard Schumann;
 from the Noun Project
  • 7. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SCORING
 THE DATA PREPARING & ORGANIZING THE DATA 7 The researcher assigns a numeric score (or value) to each response category for each question on the instruments used to collect data. (Creswell, 2012, p. 175-176) ICON CREDITS: Folder Document by parkjisun,
 List Numbered by Thomas Helbig, Check Mark by James Cottell;
 from the Noun Project
  • 8. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SCORING
 THE DATA Consistently score each question in this scale using the same numbering system. CONTINUOUS/
 CATEGORICAL DATA PREPARING & ORGANIZING THE DATA 7 The researcher assigns a numeric score (or value) to each response category for each question on the instruments used to collect data. A list of variables or questions that indicates how the researcher will code or score responses from instruments or checklists. CODEBOOK (Creswell, 2012, p. 175-176) ICON CREDITS: Folder Document by parkjisun,
 List Numbered by Thomas Helbig, Check Mark by James Cottell;
 from the Noun Project
  • 9. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 8 CONTINUOUS/CATEGORICAL DATA ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project
  • 10. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 9 CONTINUOUS/CATEGORICAL DATA ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project
  • 11. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 10 CODEBOOK ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project KATEGORI 1 2 3 4 5 6 7 8 9 11 ITEM Sangat Buruk Buruk Biasa Saja Baik Sangat Baik MISSING DATA JENIS KELAMIN Laki-laki Perem- puan MISSING DATA USIA ≤ 20 tahun 21-25 tahun 26-30 tahun 31-35 tahun 36-40 tahun 41-45 tahun 46-50 tahun 51-55 tahun > 55 tahun MISSING DATA PENDIDIKAN TERAKHIR Tidak Sekolah SD/SMP/ Sederajat SMA/ Sederajat Akademi (D1, D2, D3, D4) Sarjana (S1) Master (S2) ke atas MISSING DATA ALASAN MEMILIH Kemauan sendiri Saran orang lain Rujukan dokter Rujukan asuransi Lain-lain MISSING DATA
  • 12. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN DETERMINE
 THE TYPES OF SCORES PREPARING & ORGANIZING THE DATA 11 The type of score will affect how you enter data into a computer file for analysis. (Creswell, 2012, p. 177-178) ICON CREDITS: Folder Document by parkjisun,
 List Numbered by Thomas Helbig, Check Mark by James Cottell;
 from the Noun Project
  • 13. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN DETERMINE
 THE TYPES OF SCORES An individual score assigned to each question for each participant in your study. SINGLE-ITEM SCORES PREPARING & ORGANIZING THE DATA 11 The type of score will affect how you enter data into a computer file for analysis. The scores of an individual added over several questions that measure the same variable. SUMMED SCORES (Creswell, 2012, p. 177-178) Scores in a quantitative study that represent a difference or change for each individual. DIFFERENCE SCORES ICON CREDITS: Folder Document by parkjisun,
 List Numbered by Thomas Helbig, Check Mark by James Cottell;
 from the Noun Project
  • 14. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 12 SINGLE-ITEM SCORES ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 S001 Baik Biasa Saja Biasa Saja Baik Baik S002 Sangat Baik Sangat Baik Sangat Baik Sangat Baik S003 Baik Baik Baik Baik Baik S004 Baik Baik Baik Biasa Saja Biasa Saja S005 Baik Baik Baik Baik Baik S006 Sangat Baik Sangat Baik Sangat Baik Sangat Buruk Sangat Baik S007 Baik Baik Baik Baik Sangat Baik S008 Baik Baik Baik Baik Baik S009 Biasa Saja Baik Biasa Saja Buruk Biasa Saja S010 Baik Baik Biasa Saja Biasa Saja Sangat Baik
  • 15. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 13 SINGLE-ITEM SCORES ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 S001 4 3 3 4 4 S002 5 5 11 5 5 S003 4 4 4 4 4 S004 4 4 4 3 3 S005 4 4 4 4 4 S006 5 5 5 1 5 S007 4 4 4 4 5 S008 4 4 4 4 4 S009 3 4 3 2 3 S010 4 4 3 3 5
  • 16. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 13 SINGLE-ITEM SCORES ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 S001 4 3 3 4 4 S002 5 5 11 5 5 S003 4 4 4 4 4 S004 4 4 4 3 3 S005 4 4 4 4 4 S006 5 5 5 1 5 S007 4 4 4 4 5 S008 4 4 4 4 4 S009 3 4 3 2 3 S010 4 4 3 3 5
  • 17. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 14 SUMMED SCORES ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project SUBJEK ITEM 1 ITEM 2 ITEM 3 ITEM 4 ITEM 5 TOTAL S001 4 3 3 4 4 18 S002 5 5 11 5 5 20 S003 4 4 4 4 4 20 S004 4 4 4 3 3 18 S005 4 4 4 4 4 20 S006 5 5 5 1 5 21 S007 4 4 4 4 5 21 S008 4 4 4 4 4 20 S009 3 4 3 2 3 15 S010 4 4 3 3 5 19
  • 18. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SELECT A
 STATISTICAL PROGRAM PREPARING & ORGANIZING THE DATA 15 The hardest part is deciding which software package to use. (Creswell, 2012, p. 178-179) ICON CREDITS: Folder Document by parkjisun,
 Floppy Disk by Mike Wirth, Check Mark by James Cottell;
 from the Noun Project
  • 19. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SELECT A
 STATISTICAL PROGRAM MINITAB PREPARING & ORGANIZING THE DATA 15 The hardest part is deciding which software package to use. SYSTAT (Creswell, 2012, p. 178-179) SPSS JMP SAS ICON CREDITS: Folder Document by parkjisun,
 Floppy Disk by Mike Wirth, Check Mark by James Cottell;
 from the Noun Project
  • 20. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SELECT A
 STATISTICAL PROGRAM MICROSOFT EXCEL PREPARING & ORGANIZING THE DATA 16 The hardest part is deciding which software package to use. (Creswell, 2012, p. 178-179) ICON CREDITS: Folder Document by parkjisun,
 Floppy Disk by Mike Wirth, Check Mark by James Cottell;
 from the Noun Project
  • 21. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN INPUT
 THE DATA MICROSOFT EXCEL PREPARING & ORGANIZING THE DATA 17 Transfering the data from the responses on instruments to a computer file for analysis. (Creswell, 2012, p. 179–181) ICON CREDITS: Folder Document by parkjisun,
 Floppy Disk by Mike Wirth, Check Mark by James Cottell;
 from the Noun Project
  • 22. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 18 INPUT THE DATA (USING MICROSOFT EXCEL) ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project
  • 23. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CLEAN AND ACCOUNT FOR MISSING DATA PREPARING & ORGANIZING THE DATA 19 (Creswell, 2012, p. 181-182) ICON CREDITS: Folder Document by parkjisun,
 Clean Database by Richard Schumann; Check Mark by James Cottell;
 from the Noun Project
  • 24. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CLEAN AND ACCOUNT FOR MISSING DATA PREPARING & ORGANIZING THE DATA 19 (Creswell, 2012, p. 181-182) The process of inspecting the data for scores (or values) that are outside the accepted range. CLEANING THE DATA Missing data may result when instrument data is lost, individuals skip questions, participants are absent, or individuals refuse to complete a sensitive question. ASSESSING MISSING DATA ICON CREDITS: Folder Document by parkjisun,
 Clean Database by Richard Schumann; Check Mark by James Cottell;
 from the Noun Project
  • 25. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN PREPARING & ORGANIZING THE DATA 20 CLEANING THE DATA ICON CREDIT: Folder Document by parkjisun;
 from the Noun Project
  • 26. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CALCULATING STATISTICS IS ONLY ONE STEP IN THE PROCESS OF ANALYZING DATA. PREPARING & ORGANIZING
 THE DATA THE PROCESS 22 ANALYZING
 THE DATA REPORTING
 THE RESULT INTERPRETING
 THE RESULT ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,
 Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
  • 27. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN ANALYZING THE DATA You analyze the data
 to address each one
 of your research questions
 or hypotheses. 23 (Creswell, 2012, p. 182) ICON CREDIT: Abacus by Mister Pixel;
 from the Noun Project
  • 28. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN A. Relate two or more variables. Test hypotheses about the differences in the groups or the relationships of variables. Compare two or more groups on the independent variable in terms of the dependent variable. Describe trends in the data to a single variable or question on your instrument. B. C. D. ANALYZING THE DATA 24 (Creswell, 2012, p. 182) ICON CREDIT: Abacus by Mister Pixel;
 from the Noun Project
  • 29. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN A. Relate two or more variables. Test hypotheses about the differences in the groups or the relationships of variables. Compare two or more groups on the independent variable in terms of the dependent variable. Describe trends in the data to a single variable or question on your instrument. B. C. D. ANALYZING THE DATA 24 (Creswell, 2012, p. 182) DESCRIPTIVE
 STATISTICS INFERENTIAL
 STATISTICS ICON CREDIT: Abacus by Mister Pixel;
 from the Noun Project
  • 30. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN ANALYZING THE DATA 25 (Creswell, 2012, p. 183-187) DESCRIPTIVE
 STATISTICS VARIABILITYCENTRAL TENDENCY RELATIVE STANDING the spread of the scores in a distribution summary numbers that represent a single value in a distribution of scores describe one score relative to a group of scores ICON CREDIT: Abacus by Mister Pixel;
 from the Noun Project
  • 31. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN ANALYZING THE DATA 26 (Creswell, 2012, p. 187-192) INFERENTIAL
 STATISTICS RELATE VARIABLES GROUP COMPARISON Continuous -
 Categorical Continuous -
 Continuous P NP NP Categorical - Categorical Continuous - Categorical P NP NP Pearson Correlation Regression Categorical - Categorical Spearman Correlation Point-Biserial Correlation Phi Coefficient t-test Analysis of Variance Mann-Whitney U Kruskall- Wallis Friedman Chi-Square ICON CREDIT: Abacus by Mister Pixel;
 from the Noun Project
  • 32. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CALCULATING STATISTICS IS ONLY ONE STEP IN THE PROCESS OF ANALYZING DATA. PREPARING & ORGANIZING
 THE DATA THE PROCESS 28 ANALYZING
 THE DATA REPORTING
 THE RESULT INTERPRETING
 THE RESULT ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,
 Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
  • 33. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN 2.1. 3.Include language typically used in reporting statistical results. Report whether the hypothesis test was significant or not. Provide important information about
 the statistical test, given the statistics. REPORTING THE RESULT 29 (Creswell, 2012, p. 198)ICON CREDIT: Chart by Gregor Črešnar; from the Noun Project
  • 34. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN A summary of quantitative information presented as a chart, graph, or picture that shows relations among scores or variables. A summary of quantitative data organized into rows and columns. TABLES FIGURES REPORTING THE RESULT 30 (Creswell, 2012, p. 196-197) ICON CREDITS: Chart by Gregor Črešnar; Spreadsheet by dw,
 Charts by Aha-Soft; from the Noun Project
  • 35. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN CALCULATING STATISTICS IS ONLY ONE STEP IN THE PROCESS OF ANALYZING DATA. PREPARING & ORGANIZING
 THE DATA THE PROCESS 32 ANALYZING
 THE DATA REPORTING
 THE RESULT INTERPRETING
 THE RESULT ICON CREDITS: Folder Document by parkjisun, Abacus by Mister Pixel,
 Pie Chart by Aha-Soft, Chart by Gregor Črešnar; from the Noun Project
  • 36. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN SUGGEST FUTURE RESEARCH EXPLAIN WHY THE RESULT OCCUREDSUMMARIZE THE MAJOR RESULT ADVANCE LIMITATIONS A statement that reviews the major conclusions to each of the research questions or hypotheses. Often this explanation is based on returning to predictions made from a theory or conceptual framework that guided the development of research questions or hypotheses. Potential weaknesses or problems with the study identified by the researcher. Suggestions made by the researcher about additional studies that need to be conducted based on the results of the present research. INTERPRETING THE RESULT 33 (Creswell, 2012, p. 198-199)
  • 37. FAKULTAS PSIKOLOGI UNIVERSITAS KATOLIK INDONESIA ATMA JAYA © 2015 Ardhiati PDU 211 METODE PENELITIAN WANT TO KNOW MORE? CRESWELL, J.W. (2012). EDUCATIONAL RESEARCH: PLANNING, CONDUCTING AND EVALUATING QUANTITATIVE AND QUALITATIVE RESEARCH (4TH ED.). BOSTON, MA: PEARSON EDUCATION, INC.