© mcgraw-hill higher education. all rights reserved. chapter 4 validity

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© McGraw-Hill Higher Education. All rights reserved. Chapter 4 Chapter 4 Validity Validity

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Page 1: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Chapter 4Chapter 4

ValidityValidity

Page 2: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Chapter 4 OutlineChapter 4 Outline

Understanding Validity Evidences of Validity Content Validity Evidence Evidence of Logical Validity Criterion-related Validity Evidence Factors that Affect Criterion-related Validity Construct Validity Evidence Criterion-referenced Test Validity

Page 3: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

ValidityValidity

Most important characteristic of a measurement.

Page 4: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

ValidityValidity

Extent to which the inferences made from specific measures are appropriate.

It is not the measures that are validated; it is the inferences that are validated.

Page 5: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

ValidationValidation

Process of obtaining evidence to demonstrate that inferences made from test scores are appropriate and meaningful.

Page 6: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Evidence of validity:Evidence of validity:

judged based on the intended use of the data.should come from various sources.slowly evolves and allows us to place

confidence in the measurement instrument.

Page 7: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

ConstructConstruct

The object of interest.Examples: aerobic fitness, upper body

strength, physical activity, body composition, perceived competence.

All validation is “construct validation.”

Page 8: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Evidences of ValidityEvidences of Validity

Content validity evidenceLogical validity evidence

Criterion-related validity evidence Construct validity evidence

Page 9: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Content Validity EvidenceContent Validity Evidence

Logical approachThe term “content validity” is used with

written knowledge tests.Judgments of experts are used to determine

whether the items on the test represent all of the important content areas.

A property of the test rather than a property of the use of the test scores.

Page 10: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Evidence of Logical Validity Evidence of Logical Validity

Concept of logical validity was developed for physical tests in the field of exercise science.

Extent to which a test measures the most important components of skill necessary to perform a motor task adequately.

Page 11: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Criterion-related Criterion-related Validity EvidenceValidity Evidence

Demonstrated by correlating the test of the construct with a criterion measure of that construct.

Two types of criterion-related evidence designs:– concurrent evidence– predictive evidence

Page 12: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Used when a test is proposed as a substitute for the criterion measure.

Crucial step: selection of criterion. Criteria typically come from:

Expert judgesTournament standingsKnown valid test

Concurrent Evidence of Validity

Page 13: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Subjective ratings by one or more experts.Either point rating scale or group ranking.Point rating scale is preferable.Commonly used with skill tests.

Scores from the test are correlated with scores from the expert ratings.

Expert Ratings

Page 14: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Assumes tournament standing is a good indicator of overall ability in the tested skill.

Usually used with an individual or dual activity (e.g., tennis, badminton).

Scores from the test are correlated with tournament standings.

Tournament Standings

Page 15: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Predetermined criteria are scores from an accepted instrument.

Scores from the test are correlated with scores from the predetermined criteria.

Usually used to develop a quicker and easier test than criterion.e.g., skinfolds are used to evaluate body

composition. What’s the criterion?

Predetermined Criteria

Page 16: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Criterion measure should be recognized as the “gold standard.”

Multiple correlations and regression equations are often used to establish evidence of concurrent validity.

Predetermined Criteria

Page 17: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Used when want to predict the criterion measure some time in the future.

For Predictive Evidence the criterion is measured some time “in the future”.

For Concurrent Evidence the criterion is measured at about the same point in time.

Predictive Evidence of Validity

Page 18: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Factors that Affect Criterion-Factors that Affect Criterion-related Validity Coefficientrelated Validity Coefficient

Criterion measure selected Characteristics of individuals tested Reliability

Maximum possible validity coefficient

rxy = (Rxx)(Ryy)

Objectivity Test length

Page 19: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Size of Criterion-related Size of Criterion-related Validity CoefficientValidity Coefficient

Depends on:– criterion used– what others conducting similar studies have

found– accuracy needed

Page 20: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Construct Validity EvidenceConstruct Validity Evidence

Based on scientific method.– Hypothesize about the construct– Develop theory to explain construct, its

relationships with other constructs, and/or the tests proposed to measure it

– Apply procedures to confirm or disconfirm the theory

Judge extent to which theoretical and statistical information supports the constructs.

Page 21: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Some Methods for Confirmatory Some Methods for Confirmatory Evidence of ValidityEvidence of Validity

Factor Analysis – to evaluate internal evidence.

Multitrait, Multimethod Matrix – to obtain convergent and discriminant evidence.

Known Difference Method.

Page 22: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Factor AnalysisFactor Analysis

Used to confirm the nature of the construct. Can determine whether items seem to

measure the same construct.

Page 23: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Multitrait, Multimethod Matrix Multitrait, Multimethod Matrix (MTMM)(MTMM)

Convergent evidence – measures of the same construct correlate highly.

Discriminant evidence – measures of different constructs do not correlate as highly as measures of the same construct.

Page 24: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Known Difference MethodKnown Difference Method

Compare scores of two different groups that are expected to differ.e.g., advanced vs. intermediate swimmerse.g., comparison of group before and after

training or instruction.

Page 25: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

New 3-StageNew 3-StageParadigm for ValidityParadigm for Validity

Definitional Evidence StageConfirmatory Evidence StageTheory Testing Stage

Page 26: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Definitional Stage

Confirmatory Stage

Theory-

Testing

Stage

Page 27: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Definitional Evidence StageDefinitional Evidence Stage

Investigation of evidence to describe the nature of the construct of interest.

Content or logical approach to collecting validity evidence is used at this stage.

This evidence differs from other approaches to validation in that properties of the test rather than interpretations of the test are examined.

Page 28: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Confirmatory Evidence StageConfirmatory Evidence Stage

Collect evidence to confirm or disconfirm the description of the construct.

Page 29: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Theory Testing StageTheory Testing Stage

Test theories of how the construct of interest fits into the broader context.considerations of how the construct is related to other

constructs.determinants of a person’s status on the construct of

interest.

Page 30: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Criterion-referenced Test (CRT) Criterion-referenced Test (CRT) ValidityValidity

Criterion-referenced test -- test with a

predetermined standard used to classify people

as proficient or nonproficient.

Different techniques are used to validate CRT.

Page 31: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Two Approaches to CRT ValidityTwo Approaches to CRT Validity

Logical -- Domain-referenced validity

Statistical -- Decision validity or decision

accuracy

Page 32: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Domain-referenced ValidityDomain-referenced Validity

Domain -- behavior the test is designed to

measure.

Test is logically validated by showing the test

measures the behavior of interest.

Similar to logical validity approach with norm-

referenced validity.

Page 33: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Decision Validity orDecision Validity orDecision AccuracyDecision Accuracy

Accuracy of a test in classifying subjects as proficient or nonproficient.

Page 34: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Decision ValidityDecision Validity

Must be able to classify subjects as either true

masters or true nonmasters.This is often difficult to do.

A contingency table is then constructed.

Page 35: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Decision ValidityDecision ValidityContingency TableContingency Table

Proficient NonproficientTrue Classification

Proficient

Nonproficient

Test Classification

A

D

B

C

Page 36: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Validity Coefficient (or Validity Coefficient (or contingency coefficient)contingency coefficient)

C = (A + D) ÷ (A + B + C + D)

Page 37: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Contingency TableContingency TableExampleExample

Proficient Nonproficient

Proficient

Nonproficient

Test Classification

40

3

6

12

True Classification

Page 38: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Criterion-referencedCriterion-referencedValidity CoefficientValidity Coefficient

C = (A + D) ÷ (A + B + C + D)

C = (40 + 3) ÷ (40 + 6 + 12 + 3)

C = 43 ÷ 61

C = .70

Page 39: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Interpretation of Validity Interpretation of Validity Coefficient “C”Coefficient “C”

If C = .50, classification was no better than

chance.

When C = .50, validity is low.

Values of C > .80 are desirable, but there are no

set rules for evaluating size of C.

Page 40: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

For Criterion-referenced Test For Criterion-referenced Test Validity:Validity:

Should have evidence of both

– domain-referenced validity and

– decision validity.

Page 41: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Phi CoefficientPhi Coefficient

Another estimate of CRT validity. Correlation between two dichotomous

variables. Range from -1.0 to +1.0

Page 42: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Phi CoefficientPhi CoefficientPhi = [(A x D) - (B x C)] .

(A + B)(C + D)(A + C)(B + D)

Proficient NonproficientTrue Classification

Proficient

Nonproficient

Test Classification

A

D

B

C

Page 43: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Formative Evaluation of Chapter Formative Evaluation of Chapter ObjectivesObjectives

Define validity and outline the methods used to estimate it.

Describe the influence of test reliability on validity.

Identify those factors that influence validity.Select a valid criterion score based on

measurement theory.

Page 44: © McGraw-Hill Higher Education. All rights reserved. Chapter 4 Validity

© McGraw-Hill Higher Education. All rights reserved.

Chapter 4Chapter 4

ValidityValidity