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PART I. Introductory Considerations.
Chapter 1. Introduction to Psychological Measurement.
Chapter 2. Statistical Concepts, Probability, Expectations, and More.
PART II. Classical Theory and Validity.
Chapter 3. Classical Test Theory.
Chapter 4. Validity.
Chapter 5. Traditional Reliability Strategies.
PART III. Scaling Tests.
Chapter 6. Dimensional Scaling and Norming.
Chapter 7. The Normal Curve and Distributional Statistics.
PART IV. Constructing Tests.
Chapter 8. Constructing Items and Exercises for Tests.
Chapter 9. Performance-Related Measures.
PART V. Modern Approaches: IRT and Generalizability.
Chapter 10. Modern Scaling with Item Response Theory.
Chapter 11. Modern Reliability Analysis: Generalizability Theory.
PART VI. Analyzing Tests.
Chapter 12. Examining Individual Test Items and Exercises.
Chapter 13. Examining Whole Tests.
PART VII. Further Testing Issues.
Chapter 14. Establishing Standards.
Chapter 15. Equivalence: Linking and Equating.
Chapter 16. test Administration: Modes and Special Considerations.
References.
Name Index.
Subject Index.
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William Huang
reviewed Modern Measurement: Theory, Principles, and Applications of Mental Appraisal on November 06, 2014
Modern Measurement
Neat. a clear and, dare I say, pragmatic (characteristics i haven't been known to find especially seductive) exploration of this notoriously abstruse thinker. That this can be done without vulgarizing the theory too bad was for me a mini-revelation itself. Thanks Stavrakakis. The orientation of this book was different than that of, say, fink's intros to lacan in that, as the title suggests, this is geared towards explicitly elucidating the political implications of Lacan's project, rather than for use by anlaysts specifically.
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