Psychometrics : an introduction
著者
書誌事項
Psychometrics : an introduction
Sage, c2018
3rd ed
- : [hardcover]
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注記
Includes bibliographical references (p. 501-521) and indexes
内容説明・目次
内容説明
In Psychometrics: An Introduction, author R. Michael Furr centers his presentation of material around a conceptual understanding of psychometric issues, such as validity and reliability, and on purpose rather than procedure, the "why" rather than the "how to." By emphasizing concepts over mathematical proofs and by focusing on practical significance, this book assists students in appreciating not just how measurement problems can be addressed and why it is important to address them. This important text has been fully updated for its third edition, including new and reorganized information on reliability.
KEY FEATURES
* Presents information in a clear, easy-to-read, conversational style: The authors introduce concepts in a way that is accessible to nonprofessionals without sacrifi cing the academic integrity of the material.
* Highlights practical applications: Intended to enhance readers' appreciation of the importance of psychometrics, the book provides examples that will resonate with students.
* Offers an up-to-date treatment of topics in psychometrics: The book offers readers the most contemporary views of topics in psychometrics available in the nontechnical psychometric literature.
* Introduces statistical procedures in the context of their use rather than in a separate chapter: The authors integrate statistics with a discussion of their use as tools to solve particular psychometric problems, encouraging a more complete understanding of both..
目次
PrefaceAcknowledgmentsAbout the AuthorsChapter 1. Psychometrics and the Importance of Psychological Measurement Why Psychological Testing Matters to You Observable Behavior and Unobservable Psychological Attributes Psychological Tests: Definition and Types Psychometrics Challenges to Measurement in Psychology Theme: The Importance of Individual Differences Suggested ReadingsPART I. BASIC CONCEPTS IN MEASUREMENTChapter 2. Scaling Fundamental Issues With Numbers Units of Measurement Additivity and Counting Four Scales of Measurement Summary Suggested ReadingsChapter 3. Individual Differences and Correlations The Nature of Variability Importance of Individual Differences Variability and Distributions of Scores Quantifying the Association Between Distributions Variance and Covariance for "Composite Variables" Binary Items Interpreting Test Scores Test Norms Summary Suggested ReadingsChapter 4. Test Dimensionality and Factor Analysis Test Dimensionality Factor Analysis: Examining the Dimensionality of a Test Summary Suggested ReadingsPART II. RELIABILITYChapter 5. Reliability: Conceptual Basis Overview of Reliability and Classical Test Theory Observed Scores, True Scores, and Measurement Error Variances in Observed Scores, True Scores, and Error Scores Four Ways to Think of Reliability Reliability and the Standard Error of Measurement Parallel Tests Domain Sampling Theory Summary Suggested ReadingsChapter 6. Empirical Estimates of Reliability Alternate Forms Reliability Test-Retest Reliability Internal Consistency Reliability Factors Affecting the Reliability of Test Scores Sample Homogeneity and Reliability Generalization Reliability of Difference Scores Summary Note Suggested ReadingsChapter 7. The Importance of Reliability Applied Behavioral Practice: Evaluation of an Individual's Test Score Behavioral Research Test Construction and Refinement Summary Suggested ReadingsPART III. VALIDITYChapter 8. Validity: Conceptual Basis What Is Validity? The Importance of Validity Validity Evidence: Test Content Validity Evidence: Internal Structure of the Test Validity Evidence: Response Processes Validity Evidence: Associations With Other Variables Validity Evidence: Consequences of Testing Other Perspectives on Validity Contrasting Reliability and Validity Summary Suggested ReadingsChapter 9. Estimating and Evaluating Convergent and Discriminant Validity Evidence Methods for Evaluating Convergent and Discriminant Validity Factors Affecting a Validity Coefficient Interpreting a Validity Coefficient Summary Notes Suggested ReadingsPART IV. THREATS TO PSYCHOMETRIC QUALITYChapter 10. Response Biases Types of Response Biases Methods for Coping With Response Biases Response Biases, Response Sets, and Response Styles Summary Suggested ReadingsChapter 11. Test Bias Why Worry About Test Score Bias? Detecting Construct Bias: Internal Evaluation of a Test Detecting Predictive Bias: External Evaluation of a Test Other Statistical Procedures Test Fairness Example: Is the SAT Biased in Terms of Race or Socioeconomic Status? Summary Suggested ReadingsPART V. ADVANCED PSYCHOMETRIC APPROACHESChapter 12. Confirmatory Factor Analysis On the Use of EFA and CFA The Process of CFA for Analysis of a Scale's Internal Structure Preliminary Steps CFA and Reliability CFA and Validity SummaryChapter 13. Generalizability Theory Multiple Facets of Measurement Generalizability, Universes, and Variance Components G Studies and D Studies Conducting and Interpreting Generalizability Theory Analysis Conducting and Interpreting Generalizability Theory Analysis Other Measurement Designs Summary Suggested ReadingsChapter 14. Item Response Theory and Rasch Models Factors Affecting Responses to Test Items IRT Measurement Models Obtaining Parameter Estimates: A 1PL Example Item and Test Information Applications of IRT Summary Suggested ReadingsReferencesSubject IndexAuthor Index
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