SlideShare a Scribd company logo
1 of 36
Download to read offline
Ms. Ma. Irene G. Gonzales, LPT
Emphasizes on objective
measurements
Emphasizes on statistical,
mathematical or numerical
analysis of data
Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA:
Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in
Education with SPSS. 2nd edition. London: SAGE Publications, 2010.
Data are collected through
polls, surveys,
questionnaires, or by
manipulating pre-existing
statistical data using
computational techniques.
Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA: Wadsworth Cengage,
2010; Muijs, Daniel. Doing Quantitative Research in Education with SPSS. 2nd edition. London:
SAGE Publications, 2010.
Focuses on gathering
numerical data and
generalizing it across groups
of people or to explain a
particular phenomenon.
Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA:
Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in
Education with SPSS. 2nd edition. London: SAGE Publications, 2010.
It is a systematic empirical
investigation of any
phenomena via statistical,
mathematical, or
computational techniques.
a formal, objective,
systematic process for
obtaining quantifiable
information about the world.
http://www.health.herts.ac.uk/immunology/Web%20programme%20-
%20Researchhealthprofessionals/quantitative_research_design.htm
presented in numerical
form, and analyzed
through the use of
statistics;
http://www.health.herts.ac.uk/immunology/Web%20programme%20-
%20Researchhealthprofessionals/quantitative_research_design.htm
Data is gathered using
STRUCTURED research
instruments.
Results are based on
larger sample sizes.
Can be replicated
or repeated, given
its high reliability.
Has a CLEARLY defined
research question
All aspects of the study
are CAREFULLY designed
Data are in the form of
numbers and statistics,
often arranged in tables,
charts, figures, or other
non-textual forms.
A DESCRIPTIVE STUDY is governed by
the following rules:
subjects are generally measured ONCE;
the intention is to only establish
ASSOCIATIONS between variables; and
the study may include a sample
population of hundreds or thousands of
subjects.
Project can be used to
generalize concepts more
widely, predict future
results, or investigate
causal relationships.
Researcher uses tools,
such as questionnaires or
computer software, to
collect numerical data
An EXPERIMENTAL DESIGN includes
subjects measured BEFORE and AFTER a
particular treatment, the sample
population may be VERY SMALL and
purposefully chosen, and it is intended
to establish causality between
variables.
DESCRIPTIVE RESEARCH DESIGN
Establishes associations between
variables
EXPERIMENTAL RESEARCH
DESIGN
Establishes causality
1) Quantitative data is more
efficient and able to test
hypotheses, but may miss
contextual detail.
2) Uses a static approach
and so employs an
inflexible process of
discovery.
3) The development of standard
questions by researchers can lead to
"structural bias" and false
representation, where the data
actually reflects the view of the
researcher instead of the
participating subject.
4) Results provide less
detail on behavior,
attitudes, and
motivation.
5) Researcher may collect a
much narrower and
sometimes superficial
dataset;
7) The research is often carried out in an
unnatural, artificial environment so that
a level of control can be applied to the
exercise. This level of control might not
normally be in place in the real world
thus yielding "laboratory results" as
opposed to "real world results".
6) Results are limited as they
provide numerical descriptions
rather than detailed narrative
and generally provide less
elaborate accounts of human
perception.
1) Allows for a BROADER STUDY.
involving a greater number of
subjects; and
enhancing the generalization of the
results.
3) Applying WELL ESTABLISHED
STANDARDS
the research can be replicated,
and then analyzed and compared
with similar studies;
2) Allows for GREATER OBJECTIVITY and
ACCURACY of results.
provides summaries of data that support
generalizations about the phenomenon under study
involves few variables and many cases
employs prescribed procedures to ensure validity
and reliability
4) You can SUMMARIZE vast
sources of information and
make comparisons across
categories and over time.
5) Personal bias can be
AVOIDED by keeping a
'distance' from participating
subjects and using accepted
computational techniques.
TVL 12/ GAS 12 Introduction to Quantitative Research
TVL 12/ GAS 12 Introduction to Quantitative Research
TVL 12/ GAS 12 Introduction to Quantitative Research

More Related Content

More from sheisirenebkm

Functions and Relations
Functions and RelationsFunctions and Relations
Functions and Relationssheisirenebkm
 
Linear Equations in Two Variables
Linear Equations in Two VariablesLinear Equations in Two Variables
Linear Equations in Two Variablessheisirenebkm
 
Education Leaders' Empowerment Symposium
Education Leaders' Empowerment SymposiumEducation Leaders' Empowerment Symposium
Education Leaders' Empowerment Symposiumsheisirenebkm
 
Stem-and-Leaf Plot and Line Plot
Stem-and-Leaf Plot and Line PlotStem-and-Leaf Plot and Line Plot
Stem-and-Leaf Plot and Line Plotsheisirenebkm
 
Presentation of Data - How to Construct Graphs
Presentation of Data - How to Construct GraphsPresentation of Data - How to Construct Graphs
Presentation of Data - How to Construct Graphssheisirenebkm
 
Measures of Central Tendency and Variability for Grouped Data
Measures of Central Tendency and Variability for Grouped DataMeasures of Central Tendency and Variability for Grouped Data
Measures of Central Tendency and Variability for Grouped Datasheisirenebkm
 
Frequency Distribution Table Handout
Frequency Distribution Table HandoutFrequency Distribution Table Handout
Frequency Distribution Table Handoutsheisirenebkm
 
Introduction to Statistics - Basic Statistical Terms
Introduction to Statistics - Basic Statistical TermsIntroduction to Statistics - Basic Statistical Terms
Introduction to Statistics - Basic Statistical Termssheisirenebkm
 
Differentiating Instruction
Differentiating InstructionDifferentiating Instruction
Differentiating Instructionsheisirenebkm
 
Reviewer for Mathematics Part 2
Reviewer for Mathematics Part 2Reviewer for Mathematics Part 2
Reviewer for Mathematics Part 2sheisirenebkm
 
Reviewer for Mathematics Part 1
Reviewer for Mathematics Part 1Reviewer for Mathematics Part 1
Reviewer for Mathematics Part 1sheisirenebkm
 
Conditional Statements | If-then Statements
Conditional Statements | If-then StatementsConditional Statements | If-then Statements
Conditional Statements | If-then Statementssheisirenebkm
 
Structure of Conversations
Structure of ConversationsStructure of Conversations
Structure of Conversationssheisirenebkm
 
Indirect Proof and Proof by Contrapositive
Indirect Proof and Proof by ContrapositiveIndirect Proof and Proof by Contrapositive
Indirect Proof and Proof by Contrapositivesheisirenebkm
 
The Three Greatest Women Mathematicians
The Three Greatest Women MathematiciansThe Three Greatest Women Mathematicians
The Three Greatest Women Mathematicianssheisirenebkm
 
Arithmetization of Analysis
Arithmetization of AnalysisArithmetization of Analysis
Arithmetization of Analysissheisirenebkm
 
Mga Salitang Kaugnay sa Larangang Akademiko
Mga Salitang Kaugnay sa Larangang AkademikoMga Salitang Kaugnay sa Larangang Akademiko
Mga Salitang Kaugnay sa Larangang Akademikosheisirenebkm
 

More from sheisirenebkm (20)

Functions and Relations
Functions and RelationsFunctions and Relations
Functions and Relations
 
Equations of a Line
Equations of a LineEquations of a Line
Equations of a Line
 
Linear Equations in Two Variables
Linear Equations in Two VariablesLinear Equations in Two Variables
Linear Equations in Two Variables
 
Education Leaders' Empowerment Symposium
Education Leaders' Empowerment SymposiumEducation Leaders' Empowerment Symposium
Education Leaders' Empowerment Symposium
 
Stem-and-Leaf Plot and Line Plot
Stem-and-Leaf Plot and Line PlotStem-and-Leaf Plot and Line Plot
Stem-and-Leaf Plot and Line Plot
 
Presentation of Data - How to Construct Graphs
Presentation of Data - How to Construct GraphsPresentation of Data - How to Construct Graphs
Presentation of Data - How to Construct Graphs
 
Measures of Central Tendency and Variability for Grouped Data
Measures of Central Tendency and Variability for Grouped DataMeasures of Central Tendency and Variability for Grouped Data
Measures of Central Tendency and Variability for Grouped Data
 
Frequency Distribution Table Handout
Frequency Distribution Table HandoutFrequency Distribution Table Handout
Frequency Distribution Table Handout
 
Introduction to Statistics - Basic Statistical Terms
Introduction to Statistics - Basic Statistical TermsIntroduction to Statistics - Basic Statistical Terms
Introduction to Statistics - Basic Statistical Terms
 
Differentiating Instruction
Differentiating InstructionDifferentiating Instruction
Differentiating Instruction
 
Reviewer for Mathematics Part 2
Reviewer for Mathematics Part 2Reviewer for Mathematics Part 2
Reviewer for Mathematics Part 2
 
Reviewer for Mathematics Part 1
Reviewer for Mathematics Part 1Reviewer for Mathematics Part 1
Reviewer for Mathematics Part 1
 
Conditional Statements | If-then Statements
Conditional Statements | If-then StatementsConditional Statements | If-then Statements
Conditional Statements | If-then Statements
 
Structure of Conversations
Structure of ConversationsStructure of Conversations
Structure of Conversations
 
Indirect Proof and Proof by Contrapositive
Indirect Proof and Proof by ContrapositiveIndirect Proof and Proof by Contrapositive
Indirect Proof and Proof by Contrapositive
 
Variations
VariationsVariations
Variations
 
Sudoku
SudokuSudoku
Sudoku
 
The Three Greatest Women Mathematicians
The Three Greatest Women MathematiciansThe Three Greatest Women Mathematicians
The Three Greatest Women Mathematicians
 
Arithmetization of Analysis
Arithmetization of AnalysisArithmetization of Analysis
Arithmetization of Analysis
 
Mga Salitang Kaugnay sa Larangang Akademiko
Mga Salitang Kaugnay sa Larangang AkademikoMga Salitang Kaugnay sa Larangang Akademiko
Mga Salitang Kaugnay sa Larangang Akademiko
 

Recently uploaded

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...ZurliaSoop
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.MaryamAhmad92
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxdhanalakshmis0310
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin ClassesCeline George
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docxPoojaSen20
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxAmita Gupta
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxVishalSingh1417
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfNirmal Dwivedi
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Association for Project Management
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfSherif Taha
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibitjbellavia9
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 

Recently uploaded (20)

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
Magic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptxMagic bus Group work1and 2 (Team 3).pptx
Magic bus Group work1and 2 (Team 3).pptx
 
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17  How to Extend Models Using Mixin ClassesMixin Classes in Odoo 17  How to Extend Models Using Mixin Classes
Mixin Classes in Odoo 17 How to Extend Models Using Mixin Classes
 
psychiatric nursing HISTORY COLLECTION .docx
psychiatric  nursing HISTORY  COLLECTION  .docxpsychiatric  nursing HISTORY  COLLECTION  .docx
psychiatric nursing HISTORY COLLECTION .docx
 
Third Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptxThird Battle of Panipat detailed notes.pptx
Third Battle of Panipat detailed notes.pptx
 
Unit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptxUnit-IV- Pharma. Marketing Channels.pptx
Unit-IV- Pharma. Marketing Channels.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 

TVL 12/ GAS 12 Introduction to Quantitative Research

  • 1. Ms. Ma. Irene G. Gonzales, LPT
  • 2. Emphasizes on objective measurements Emphasizes on statistical, mathematical or numerical analysis of data Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in Education with SPSS. 2nd edition. London: SAGE Publications, 2010.
  • 3.
  • 4. Data are collected through polls, surveys, questionnaires, or by manipulating pre-existing statistical data using computational techniques. Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in Education with SPSS. 2nd edition. London: SAGE Publications, 2010.
  • 5.
  • 6.
  • 7.
  • 8. Focuses on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon. Babbie, Earl R. The Practice of Social Research. 12th ed. Belmont, CA: Wadsworth Cengage, 2010; Muijs, Daniel. Doing Quantitative Research in Education with SPSS. 2nd edition. London: SAGE Publications, 2010.
  • 9. It is a systematic empirical investigation of any phenomena via statistical, mathematical, or computational techniques.
  • 10. a formal, objective, systematic process for obtaining quantifiable information about the world. http://www.health.herts.ac.uk/immunology/Web%20programme%20- %20Researchhealthprofessionals/quantitative_research_design.htm
  • 11. presented in numerical form, and analyzed through the use of statistics; http://www.health.herts.ac.uk/immunology/Web%20programme%20- %20Researchhealthprofessionals/quantitative_research_design.htm
  • 12. Data is gathered using STRUCTURED research instruments. Results are based on larger sample sizes.
  • 13. Can be replicated or repeated, given its high reliability.
  • 14. Has a CLEARLY defined research question All aspects of the study are CAREFULLY designed
  • 15. Data are in the form of numbers and statistics, often arranged in tables, charts, figures, or other non-textual forms.
  • 16.
  • 17. A DESCRIPTIVE STUDY is governed by the following rules: subjects are generally measured ONCE; the intention is to only establish ASSOCIATIONS between variables; and the study may include a sample population of hundreds or thousands of subjects.
  • 18. Project can be used to generalize concepts more widely, predict future results, or investigate causal relationships.
  • 19. Researcher uses tools, such as questionnaires or computer software, to collect numerical data
  • 20. An EXPERIMENTAL DESIGN includes subjects measured BEFORE and AFTER a particular treatment, the sample population may be VERY SMALL and purposefully chosen, and it is intended to establish causality between variables.
  • 21. DESCRIPTIVE RESEARCH DESIGN Establishes associations between variables EXPERIMENTAL RESEARCH DESIGN Establishes causality
  • 22. 1) Quantitative data is more efficient and able to test hypotheses, but may miss contextual detail.
  • 23. 2) Uses a static approach and so employs an inflexible process of discovery.
  • 24. 3) The development of standard questions by researchers can lead to "structural bias" and false representation, where the data actually reflects the view of the researcher instead of the participating subject.
  • 25. 4) Results provide less detail on behavior, attitudes, and motivation.
  • 26. 5) Researcher may collect a much narrower and sometimes superficial dataset;
  • 27. 7) The research is often carried out in an unnatural, artificial environment so that a level of control can be applied to the exercise. This level of control might not normally be in place in the real world thus yielding "laboratory results" as opposed to "real world results".
  • 28. 6) Results are limited as they provide numerical descriptions rather than detailed narrative and generally provide less elaborate accounts of human perception.
  • 29. 1) Allows for a BROADER STUDY. involving a greater number of subjects; and enhancing the generalization of the results.
  • 30. 3) Applying WELL ESTABLISHED STANDARDS the research can be replicated, and then analyzed and compared with similar studies;
  • 31. 2) Allows for GREATER OBJECTIVITY and ACCURACY of results. provides summaries of data that support generalizations about the phenomenon under study involves few variables and many cases employs prescribed procedures to ensure validity and reliability
  • 32. 4) You can SUMMARIZE vast sources of information and make comparisons across categories and over time.
  • 33. 5) Personal bias can be AVOIDED by keeping a 'distance' from participating subjects and using accepted computational techniques.