Cited by 1,588Psychometric Methodologies and TestingPsychological Testing and AssessmentEducational Assessment and Pedagogy

Psychological Testing: A Practical Approach to Design and Evaluation

Kline, Theresa·2005·Sage eBooks

Abstract

Preface The Assessment of Individuals: The Critical Role and Fundamentals of Measurement Measurement in the Physical Sciences Measurement in the Social Sciences Historical Highlights of Measurement Statistics Background The First Step: Identifying the Construct Links Between Constructs Construct Cleanliness Single versus Multiple Constructs Summary and Next Step Problems and Exercises Designing and Writing Items Empirical, Theoretical and Rational Approaches to Item Empirical, Theoretical and Rational Approaches to Item Literature Search Subject Matter Experts How Many Items? Attitudinal Items: Early Work in Item Generation Assessing Behaviors Pilot Testing Summary and Next Step Problems and Exercises Designing and Scoring Responses Open-Ended Responses Closed-Ended Questions Example 1: Proportional Differences for a Single Variable Example 2: Proportional Differences for Two Variables Dichotomous Responses Multiple Choice Tests Continuous Responses Ipsative versus Normative Scales Difference and Change Scores Summary and Next Step Problems and Exercises Collecting Data: Sampling and Screening Probability Sampling Non-Probability Sampling Sample Sizes Missing Data Preparing to Analyze Your Data Summary and Next Step Problems and Exercises Classical Test Theory: Assumptions, Equations, Limitations and Item Analyses Classical Test Theory Theory of True and Error Scores: Description and Assumptions Ramifications and Limitations of Classical Test Theory Assumptions Item Analysis within CTT: Approaches, Statistical Analyses, and Interpretation Descriptive Statistics Summary Problems and Exercises Modern Test Theory: Assumptions, Equations, Limitations and Item Analyses Modern Test Theory Models One-Parameter Logistic Model Two-Parameter Logistic Model Three-Parameter Logistic Model Multiple-response IRT Models Parameter Estimation Scoring Respondents Model Fit Assumptions Ramifications of the Assumptions of Modern Test Theory Practical Advantages of Modern Test Theory Limitations of Modern Test Theory Computer Programs Practical Considerations Summary Next Steps Problems and Exercises Reliability of Test Scores and Test Items Test-retest Reliability Alternative Forms Reliability Measures of Internal Consistency Setting Confidence Intervals Reliability of a Composite Difference Scores - A Reliability Concern Practical Questions Summary and Next Steps Problems and Exercises Reliability of Raters Inter-Rater Reliability Indices Reliability Generalization Modern Test Theory Approaches to Reliability Summary and Next Steps Problems and Exercises Assessing Validity Using Content and Criterion Methods Asking the Test Takers Asking the Subject Matter Experts Assessments Using Correlation and Regression: Criterion-Related Studies Classification Approaches to Test Score Validation Group Differences and Test Bias Extending the Inferences of Criterion-Related Validity Studies Summary Problems and Exercises Assessing Validity Via Item Internal Structure Principal Components Analysis Common Factor Analysis Common Factor Analysis using Analysis of Covariance Structures Some Other Issues in Factor Analysis Practical Issues Concluding Comments on Internal Structure and Validity Threats to the Validity of Scores Multitrait-Multimethod Assessment Closing Comments on Test Score Validity Summary Problems and Exercises Ethics and Professional Issues in Testing Professional Standards and Guidelines Ethical Procedures and Protocols Test Administration Integrity Testing Computerized Testing Coaching, Testwiseness, and Re-takes Testing Legislation Test Item Bias and Adverse Impact Translation Issues Electronic Presentation and Capture Summary Problems and Exercises Brief Reviews of Some Selected Tests and Concluding Comments Information about Existing Tests Some Intelligence Tests Academic Achievement Tests Structured Personality Tests Career Interest/Guidance Instruments Chapter Summary A Quick Book Review Concluding Comments Problems and Exercises Appendices References Index

Integrity signals

Registry

Crossref · 10.4135/9781483385693

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Kline, T.
Affiliations
University of Calgary (CA)
Corresponding author
Kline, Theresa
Venue
Sage eBooks
Published
2005
OpenAlex
W1709453369
Cited by
1,588
References
0
Citations by year
2026: 78 · 2025: 161 · 2024: 186 · 2023: 189 · 2022: 198 · 2021: 155 · 2020: 95 · 2019: 66 · 2018: 63 · 2017: 68 · 2016: 70 · 2015: 41 · 2014: 38 · 2013: 40 · 2012: 29
FWCI
4.44
Type
book
Language
en
Open access
closed
Locations
Sage eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
  • Social Sciences › Education › Educational Assessment and Pedagogy
Keywords
psychological testing, test design, construct identification, item generation, item analysis, classical test theory, item response theory, reliability statistics, validity, test bias, factor analysis, internal structure, test scoring, criterion validity, content validity, rater reliability, measurement theory, psychometrics, computer-based testing, adaptive testing, item difficulty and discrimination

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review