New horizons in testing : latent trait test theory and computerized adaptive testing

著者

• Weiss, David J.
• Bock, R. Darrell
• Computerized Adaptive Testing Conference
• United States. Office of Naval Research

書誌事項

New horizons in testing : latent trait test theory and computerized adaptive testing

edited by David J. Weiss ; contributors, R. Darrell Bock ... [et al.]

Academic Press, 1983

注記

Derived from the 1979 Computerized Adaptive Testing Conference held at Wayzata, Minn., sponsored by the U.S. Office of Naval Research, et al

Includes bibliographies and indexes

内容説明・目次

内容説明

New Horizons in Testing: Latent Trait Test Theory and Computerized Adaptive Testing provides an in-depth analysis of psychological measurement, espoused by the computer-latent trait test theory (item response theory) and computerized adaptive testing. The book is organized into five parts. The first part addresses basic problems in estimating the parameters of the item response theory models that constitute a class of latent trait test theory models. The second part, discusses the implications of item response theory for measuring individuals using more than just simply a trait level (e.g., ability) score. Part III describes the application of item response theory models to specific applied problems, including the problem of equating tests or linking items into a pool, a latent trait model for timed tests, and the problem of measuring growth using scores derived from the application of item response theory models. Part IV is concerned with the application of item response theory to computerized adaptive testing. Finally, Part V includes discussion of two special models beyond the standard models used in the rest of the book. One of these models, the constant information model, is a simplification of the general latent trait models, whereas the other is an extension of latent trait models to the problem of measuring change. Psychometricians, psychologists, and psychiatrists will find the book useful.

目次

Contributors Preface Acknowledgments Introduction Latent Trait Theory Adaptive Testing References I Estimating Item Parameters and Ability 1 Estimation of Parameters in the Three-Parameter Latent Trait Model Purpose Design of the Study Results Discussion References 2 Robustness of Item Response Models and Effects of Test Length and Sample Size on the Precision of Ability Estimates Study 1 Study 2 References 3 Small N Justifies Rasch Model Method Test Studied Results Conclusions Appendix: Asymptotic Sampling Variance of ? Reference 4 Are We Correcting for Guessing in the Wrong Direction? The Start of an Alternative A More Specific Plan An AMJACK Example Conclusions Afterthought Appendix A Appendix B References II Beyond the Ability Estimate 5 The Person Response Curve: Fit of Individuals to Item Response Theory Models Related Research The Person Response Curve Method Results Conclusions and Directions for Future Research References 6 Appropriateness Measurement: Validating Studies and Variable Ability Models Objectives and Limitations of Appropriateness Measurement Review of Test Theories and Basic Appropriateness Measurement Simulation Procedures and Earlier Results Empirical Studies Summary and Concluding Remarks References III Applications to Testing Problems 7 Effects of Sample Size on Linear Equating of Item Characterisfic Curve Parameters Item Characteristic Curve Parameters Linking Paradigms Method Results Discussion Conclusions References 8 A Test of the Adequacy of Curvilinear Score Equating Models Equating Models Study Design Results and Discussion Conclusions References 9 Timed Testing: An Approach Using Item Response Theory The Model Estimation Applications: I. Spatial Test Data Applications: II. Three Tests Conclusions References 10 The Mental Growth Curve Reexamined A Scaling Procedure Fully Independent of Chronological Age Units Scaling the Binet Test Advantages of the Present Scaling Procedure Appendix References IV Application to Adaptive Testing 11 Reliability and Validity of Adaptive Ability Tests in a Military Setting Background and Purpose Method Results Conclusions References 12 A Procedure for Decision Making Using Tailored Testing Tailored Testing Procedures Sequential Decision Procedures The Sequential Probability Ratio Test Research Design Results Summary and Conclusions References 13 A Comparison of IRT-Based Adaptive Mastery Testing and a Sequential Mastery Testing Procedure Alternatives to Conventional Mastery Tests Method Results Discussion and Conclusions References V Models for Special Applications 14 The Constant Information Model on the Dichotomous Response Level The Constant Information Model Use of the Constant Information Model in the Estimation of the Operating Characteristics of Item Response Categories Discussion and Conclusion References 15 Some Latent Trait Models for Measuring Change in Qualitative Observations A Family of Linear Logistic Models for Qualitative Data The Dichotomous Linear Logistic Model with Relaxed Assumptions The Epistemological Background of the Linear Logistic Model with Relaxed Assumptions Estimating Model Parameters in the Linear Logistic Model with Relaxed Assumptions Testing Hypotheses with the Linear Logistic Model with Relaxed Assumptions The Polytomous Linear Logistic Model with Relaxed Assumptions References Author Index Subject Index

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詳細情報

• NII書誌ID(NCID): BA00680204
• ISBN:
  • 0127427805
• LCCN: 82024374
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: xvii, 345 p.
• 大きさ: 24 cm
• 分類:
  • LCC : BF176
  • DC19 : 153.9/3
• 件名:
  • LCSH : Psychological tests -- Congresses