"This is a book that should be on the desk of anyone truly concerned with reliability. The whole question of conditional reliabilities is current and important; and, the question of reliability generalization is being opened out and moving away from Cronbach's approach. The topic is an important one." --Richard L. Gorsuch, Director of Research in Graduate School of Psychology, Fuller Theological Seminary Should a high school diploma be awarded to students based on their score on a final exit exam? Should businesses deny employment to people based on their score on a personality test? In a…mehr
"This is a book that should be on the desk of anyone truly concerned with reliability. The whole question of conditional reliabilities is current and important; and, the question of reliability generalization is being opened out and moving away from Cronbach's approach. The topic is an important one." --Richard L. Gorsuch, Director of Research in Graduate School of Psychology, Fuller Theological Seminary Should a high school diploma be awarded to students based on their score on a final exit exam? Should businesses deny employment to people based on their score on a personality test? In a world of "high stakes" testing, it has become more important than ever to make certain the scores on which we base our decisions are reliable. Aimed at helping researchers create and evaluate scores better, this reader presents the basic concepts of classical (or "true score") and modern ("generalizability") test theory. Beginning with a review of reliability and validity issues in measurement, the book covers score reliability, reliability induction, and reliability generalization. Exercises with sample data are included at the end of each section so readers can demonstrate knowledge of the principles.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Bruce Thompson is (a) a former member of the Council of the American Educational Research Association (AERA), (b) a former nominee for AERA President, and (c) a former editor of AERJ:TLHD (as well as 3 other journals, including EPM for 9 years). Bruce is especially known for (a) his work on effect sizes, and (b) his contributions to creating the LibQUAL+(R) protocol, completed in ~20 language variations by more than 1,200,000 academic research library users at more than 1,100 institutions from around the world.
Inhaltsangabe
Preface Part 1 Basic Concepts in Score Reliability Ch 1 Understanding Reliability and Coefficient Alpha, Really alpha, Really - Bruce Thompson Exercises - Bruce Thompson Ch 2 Correcting Effect Sizes for Score Reliability - Frank Baugh Ch 3 A Brief Introduction to Generalizability Theory - Bruce Thompson Ch 4 Reliability Methods: A Note on the Frequency of Use of Various Types - Thomas P. Hogan, Amy Benjamin, and Kristen L. Brezinski Ch 5 Confidence Intervals About Score Reliability Coefficients - Xitao Fan and Bruce Thompson Exercises - Bruce Thompson Part 2 The Nature of Reliability Ch 6 Guidelines for Authors Reporting Score Reliability Estimates - Bruce Thompson Ch 7 Reliability as Psychometrics versus Datametircs - Shlomo S. Sawilowsky Ch 8 Psychometrics is Datametrics: The Test is Not Reliable - Bruce Thompson and Tammi Vacha-Haase Ch 9 Reliability:Rejoinder to Thompson and Vacha-Haase - Shlomo S. Sawilowsky Part 3 Reliability Induction and Reporting Practices Ch 10 Sample Compositions and Variabilities in Published Studies versus Those in Test Manuals: Validity of Score Reliability Inductions - Tammi Vacha-Haase, Lori R. Kogan, and Bruce Thompson Ch 11 How Well Do Researchers Report Their Measures?: An Evaluation of Measurement in Published Educational Research - Dale Whittington Ch 12 The Degree of Congruence Between Test Standards and Test Documentation Within Journal Publications - Audrey L. Qualls and Angela D. Moss Exercises - Bruce Thompson Ch 13 Reliability Generalization: Exploring Variance in Measurement Error Affecting Score Reliability Across Studies - Tammi Vacha-Haase Ch 14 Assesing the Reliability of Beck Depression Inventory Scores: Reliability Generalization Across Studies - Ping Yin and Xitao Fan Ch 15 Measurement Error in "Big Five Factors" Personality Assessment: Reliability Generalization Across Studies and Measures - Chockalingam Viswesvaran and Deniz S. Ones Ch 16 Reliability Generalization of the NEO Personality Scales - John C. Caruso Exercises - Bruce Thompson Index About the Author
Preface Part 1 Basic Concepts in Score Reliability Ch 1 Understanding Reliability and Coefficient Alpha, Really alpha, Really - Bruce Thompson Exercises - Bruce Thompson Ch 2 Correcting Effect Sizes for Score Reliability - Frank Baugh Ch 3 A Brief Introduction to Generalizability Theory - Bruce Thompson Ch 4 Reliability Methods: A Note on the Frequency of Use of Various Types - Thomas P. Hogan, Amy Benjamin, and Kristen L. Brezinski Ch 5 Confidence Intervals About Score Reliability Coefficients - Xitao Fan and Bruce Thompson Exercises - Bruce Thompson Part 2 The Nature of Reliability Ch 6 Guidelines for Authors Reporting Score Reliability Estimates - Bruce Thompson Ch 7 Reliability as Psychometrics versus Datametircs - Shlomo S. Sawilowsky Ch 8 Psychometrics is Datametrics: The Test is Not Reliable - Bruce Thompson and Tammi Vacha-Haase Ch 9 Reliability:Rejoinder to Thompson and Vacha-Haase - Shlomo S. Sawilowsky Part 3 Reliability Induction and Reporting Practices Ch 10 Sample Compositions and Variabilities in Published Studies versus Those in Test Manuals: Validity of Score Reliability Inductions - Tammi Vacha-Haase, Lori R. Kogan, and Bruce Thompson Ch 11 How Well Do Researchers Report Their Measures?: An Evaluation of Measurement in Published Educational Research - Dale Whittington Ch 12 The Degree of Congruence Between Test Standards and Test Documentation Within Journal Publications - Audrey L. Qualls and Angela D. Moss Exercises - Bruce Thompson Ch 13 Reliability Generalization: Exploring Variance in Measurement Error Affecting Score Reliability Across Studies - Tammi Vacha-Haase Ch 14 Assesing the Reliability of Beck Depression Inventory Scores: Reliability Generalization Across Studies - Ping Yin and Xitao Fan Ch 15 Measurement Error in "Big Five Factors" Personality Assessment: Reliability Generalization Across Studies and Measures - Chockalingam Viswesvaran and Deniz S. Ones Ch 16 Reliability Generalization of the NEO Personality Scales - John C. Caruso Exercises - Bruce Thompson Index About the Author
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