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QUANTITATIVE TECHNIQUES FOR
PSYCHOLOGY
DR.S.THENMOZHI
Lesson -1
Introduction to Quantitative
methods& Measurement
• TYPES OF RESEARCH
Types of
Research
Nomothetic
QuantitativeQualitative
Idiographic
Classification of Psychological Research
• Descriptive Research
• Correlation Research
• Experimental Research
• Naturalistic observation
• Self Report
Quantitative Techniques
• Need
• Ad vantages
• Limitations
• Classification
• Tests
MEASUREMENT
Nominal
Scale
Ordinal
Scale
Interval
Scale
Ratio
scale
scales
• Nominal – Mere No s 1 2 3 4 5 6 7 8 9
• Ordinal – Ist Rank, II Rank ………
• Interval - Equal Intervel - temperature
• Ratio – Absolute Zero , IQ levelss
ERRORS IN MEASUREMENT
Respondents Factors
Situation
Measurer Effect
Instrument Tools
LESSON – 2
• CONCEPT OF OBJECTIVITY and Types of Tests
LESSON -3 TEST CONSTRUCTION
• QUESTIONNAIRES
• Questionaire as per Goode (1981) refers to a
device for securing answers to questions by
using a form which the Respondents fills in
himself.
Advantages & Disadvantages
• Advantages – Low cost. Free from the bias of
the interviewer, Adequate time, Large samples
• Disadvantages – Low rate of return, only
educated, no control once it is sent, slowest
method, possibility of ambiguous, untrue,
incomplete answers
Types of Qs
• Standardized / structured Questionnaire
• Nonstandard zed / unstructured
Questionnaire
• Closed end/ open ended Questionnaire
Types of Responses
• True /False items
• Multiple Choice items
• open ended items
Likert's Attitude Scale
This is multiple agree – disagree 5
point scale
ADMINSTRATION OF Qs
• Face to Face
• Written administration
• Computerized administration
• Telephone administration
Psychological Test
• Test in Psychology are a formal technique of
measuring feelings, abilities, traits, beliefs and
behavior in a particular situation.
TYPES OF TESTS
• Performance / Verbal Tests
• Paper Pencil Test
• Personality Tests
• Situational Tests
• Projective Tests
• Individual test /group test
• Speed test and power test
• Researcher made/ standardized test
• Oral/ written/ performance test
Lesson -4 TEST STANDARDIZATION
• The characteristics of Good test it should be
standardized test
• Reliability
• Validity
• Objectivity
• Norms
Test construction
• 1. Planning the Test
• 2.Preparing the preliminary draft of the test
• 3.Trying out preliminary draft of the test
• 4.Evaluating the test
• 5.Construction of the final Draft of the test
Item writing
• 1.Address single issue per item
• Avoid bais
• Make alternatives clear
• Beware of social desirability
• Determine the format of item
• Sequence the item
Item analysis
Item analysis is a process which examines student
responses to individual test items (questions) in order
to assess the quality of those items and of the test as a
whole. Item analysis is especially valuable in improving
items which will be used again in later tests, but it can
also be used to eliminate ambiguous or misleading
items in a single test administration. In addition, item
analysis is valuable for increasing instructors' skills in
test construction, and identifying specific areas of
course content which need greater emphasis or clarity.
2 Characteristics of Item analysis - Difficulty value and
Discriminative power
Reliability & Validity
• Reliability refers to the consistency of scores
obtained by the same persons when they are
reexamined with the same test on different
occasions. (consistency )
• Validity refers to the concern what the test
measures and how well it does so.The degree
to which the test measures what it purports to
measure.
Types of Reliability
• i . Test Retest Reliability
• ii. Alternate form Reliability
• iii. Split Half Reliability
• Iv. Inter rater Reliability ( scorer Reliability)
The standard Error of measurement
Analysis of variance
Types of Validity
• Types of Valitidity
• Content Validity
• Face validity
• Criterion related validity – Predictive &
concurrent validity
• Construct validity
• Factorial validity
The error of Estimate - Correlation coeficient
Norms
• Freeman defines a norm as norm in
measurement as the ‘average or standard
score on a particular test made by a specified
population.
• It is a device of transforming raw scores into
standard scores in a group.
VARIABLES
• What is a Variable?
• Types of variables
• IV & DV
• Confounding variable
• Quantitative & Categorical variable
• Continuous & Discrete Variable
Sampling Design
• What is a sample ?
• Universe – Population – Samples
• Systematic Sampling
• Simple Random Sampling
• Stratified Random Sampling
• Purposive Sampling
• Cluster Sampling
• Convienence Sampling
LESSON- 5 RESEARCH DESIGNS
• RESEARCH – knowing – ‘what’ of a study
• Research Problem – The variables to be
studied
• Formulate the Hypothesis to be tested
• To test the Hypothesis research Design is
required.
RD
• Green etal (2008)defines Research Design as
‘the specification of methods and procedures
for acquiring the information needed’.
• Purpose of RD
• 1.Maximise the variance
• 2.control extraneous variance
• 3.minimize error varience
Important Elements of RD
• Introduction – Reserch Plan/Problem
• Statement of Problem
• Review of Literature
• Scope of the studyObjectives of the
studyConceptual model
• Hypotheses
• Operational Def of Variables
• Significance of the study
• Sampling design/plan
• Tools
• Analysis
• Time budjet
• Financial budjet
Classification of RD
Research Design
Exploraory RD conclusive RD
Descriptive Research Casual Research
cross sectional Design Longitudinal Design
Single cross sectional Design &
Multiple cross sectional Design
Informal Research Design
• Exploratory Research Design
• Secondary resource analyses
• Comprehensive case method
• Expert opinion survey
• Focus group Discussions.

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Quantitative techniques for psychology

  • 2. Lesson -1 Introduction to Quantitative methods& Measurement • TYPES OF RESEARCH Types of Research Nomothetic QuantitativeQualitative Idiographic
  • 3. Classification of Psychological Research • Descriptive Research • Correlation Research • Experimental Research • Naturalistic observation • Self Report
  • 4. Quantitative Techniques • Need • Ad vantages • Limitations • Classification • Tests
  • 6. scales • Nominal – Mere No s 1 2 3 4 5 6 7 8 9 • Ordinal – Ist Rank, II Rank ……… • Interval - Equal Intervel - temperature • Ratio – Absolute Zero , IQ levelss
  • 7. ERRORS IN MEASUREMENT Respondents Factors Situation Measurer Effect Instrument Tools
  • 8. LESSON – 2 • CONCEPT OF OBJECTIVITY and Types of Tests
  • 9. LESSON -3 TEST CONSTRUCTION • QUESTIONNAIRES • Questionaire as per Goode (1981) refers to a device for securing answers to questions by using a form which the Respondents fills in himself.
  • 10. Advantages & Disadvantages • Advantages – Low cost. Free from the bias of the interviewer, Adequate time, Large samples • Disadvantages – Low rate of return, only educated, no control once it is sent, slowest method, possibility of ambiguous, untrue, incomplete answers
  • 11. Types of Qs • Standardized / structured Questionnaire • Nonstandard zed / unstructured Questionnaire • Closed end/ open ended Questionnaire
  • 12. Types of Responses • True /False items • Multiple Choice items • open ended items Likert's Attitude Scale This is multiple agree – disagree 5 point scale
  • 13. ADMINSTRATION OF Qs • Face to Face • Written administration • Computerized administration • Telephone administration
  • 14. Psychological Test • Test in Psychology are a formal technique of measuring feelings, abilities, traits, beliefs and behavior in a particular situation. TYPES OF TESTS • Performance / Verbal Tests • Paper Pencil Test • Personality Tests • Situational Tests • Projective Tests
  • 15. • Individual test /group test • Speed test and power test • Researcher made/ standardized test • Oral/ written/ performance test
  • 16. Lesson -4 TEST STANDARDIZATION • The characteristics of Good test it should be standardized test • Reliability • Validity • Objectivity • Norms
  • 17. Test construction • 1. Planning the Test • 2.Preparing the preliminary draft of the test • 3.Trying out preliminary draft of the test • 4.Evaluating the test • 5.Construction of the final Draft of the test
  • 18. Item writing • 1.Address single issue per item • Avoid bais • Make alternatives clear • Beware of social desirability • Determine the format of item • Sequence the item
  • 19. Item analysis Item analysis is a process which examines student responses to individual test items (questions) in order to assess the quality of those items and of the test as a whole. Item analysis is especially valuable in improving items which will be used again in later tests, but it can also be used to eliminate ambiguous or misleading items in a single test administration. In addition, item analysis is valuable for increasing instructors' skills in test construction, and identifying specific areas of course content which need greater emphasis or clarity. 2 Characteristics of Item analysis - Difficulty value and Discriminative power
  • 20. Reliability & Validity • Reliability refers to the consistency of scores obtained by the same persons when they are reexamined with the same test on different occasions. (consistency ) • Validity refers to the concern what the test measures and how well it does so.The degree to which the test measures what it purports to measure.
  • 21. Types of Reliability • i . Test Retest Reliability • ii. Alternate form Reliability • iii. Split Half Reliability • Iv. Inter rater Reliability ( scorer Reliability) The standard Error of measurement Analysis of variance
  • 22. Types of Validity • Types of Valitidity • Content Validity • Face validity • Criterion related validity – Predictive & concurrent validity • Construct validity • Factorial validity The error of Estimate - Correlation coeficient
  • 23. Norms • Freeman defines a norm as norm in measurement as the ‘average or standard score on a particular test made by a specified population. • It is a device of transforming raw scores into standard scores in a group.
  • 24. VARIABLES • What is a Variable? • Types of variables • IV & DV • Confounding variable • Quantitative & Categorical variable • Continuous & Discrete Variable
  • 25. Sampling Design • What is a sample ? • Universe – Population – Samples • Systematic Sampling • Simple Random Sampling • Stratified Random Sampling • Purposive Sampling • Cluster Sampling • Convienence Sampling
  • 26. LESSON- 5 RESEARCH DESIGNS • RESEARCH – knowing – ‘what’ of a study • Research Problem – The variables to be studied • Formulate the Hypothesis to be tested • To test the Hypothesis research Design is required.
  • 27. RD • Green etal (2008)defines Research Design as ‘the specification of methods and procedures for acquiring the information needed’. • Purpose of RD • 1.Maximise the variance • 2.control extraneous variance • 3.minimize error varience
  • 28. Important Elements of RD • Introduction – Reserch Plan/Problem • Statement of Problem • Review of Literature • Scope of the studyObjectives of the studyConceptual model • Hypotheses • Operational Def of Variables • Significance of the study • Sampling design/plan
  • 29. • Tools • Analysis • Time budjet • Financial budjet
  • 30. Classification of RD Research Design Exploraory RD conclusive RD Descriptive Research Casual Research cross sectional Design Longitudinal Design Single cross sectional Design & Multiple cross sectional Design
  • 31. Informal Research Design • Exploratory Research Design • Secondary resource analyses • Comprehensive case method • Expert opinion survey • Focus group Discussions.