Frontiers of Test Validity Theory: Measurement, Causation, and Meaning (Multivariate Applications Series)

Frontiers of Test Validity Theory: Measurement, Causation, and Meaning (Multivariate Applications Series)

By: Keith A. Markus (author), Denny Borsboom (author)Paperback

Up to 2 WeeksUsually despatched within 2 weeks

£45.59 RRP £47.99  You save £2.40 (5%) With FREE Saver Delivery

Description

This book examines test validity in the behavioral, social, and educational sciences by exploring three fundamental problems: measurement, causation and meaning. Psychometric and philosophical perspectives receive attention along with unresolved issues. The authors explore how measurement is conceived from both the classical and modern perspectives. The importance of understanding the underlying concepts as well as the practical challenges of test construction and use receive emphasis throughout. The book summarizes the current state of the test validity theory field. Necessary background on test theory and statistics is presented as a conceptual overview where needed. Each chapter begins with an overview of key material reviewed in previous chapters, concludes with a list of suggested readings, and features boxes with examples that connect theory to practice. These examples reflect actual situations that occurred in psychology, education, and other disciplines in the US and around the globe, bringing theory to life. Critical thinking questions related to the boxed material engage and challenge readers. A few examples include: What is the difference between intelligence and IQ? Can people disagree on issues of value but agree on issues of test validity? Is it possible to ask the same question in two different languages? The first part of the book contrasts theories of measurement as applied to the validity of behavioral science measures.The next part considers causal theories of measurement in relation to alternatives such as behavior domain sampling, and then unpacks the causal approach in terms of alternative theories of causation.The final section explores the meaning and interpretation of test scores as it applies to test validity. Each set of chapters opens with a review of the key theories and literature and concludes with a review of related open questions in test validity theory. Researchers, practitioners and policy makers interested in test validity or developing tests appreciate the book's cutting edge review of test validity. The book also serves as a supplement in graduate or advanced undergraduate courses on test validity, psychometrics, testing or measurement taught in psychology, education, sociology, social work, political science, business, criminal justice and other fields. The book does not assume a background in measurement.

About Author

Keith A. Markus is a Professor in the Department of Psychology at John Jay College of Criminal Justice of The City University of New York (CUNY). Denny Borsboom is a Professor in the Department of Psychology at the University of Amsterdam.

Contents

1. Introduction: Surveying the Field of Test Validity Theory. 2. Philosophical Theories of Measurement. 3. Psychometric Models. 4. Open Issues in Measurement Theory and Psychometrics. 5. Test Scores as Samples: Behavior Domain Theory. 6. Causality in Measurement. 7. Causation, Correlation, and Reflective Measurement Models. 8. Problems in Causation and Validity: Formative Measurement, Networks, and Individual Differences. 9. Interpreting Test Responses: Validity, Values, and Evaluation. 10. A Model of Test Score Interpretation. 11. Open Questions About Test Score Meaning. 12. An Integrative View of Test Validity. 13. Epilogue as Dialog: The Future of Test Validity Theory.

Product Details

  • ISBN13: 9781841692203
  • Format: Paperback
  • Number Of Pages: 342
  • ID: 9781841692203
  • weight: 476
  • ISBN10: 1841692204

Delivery Information

  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
  • Courier Delivery: Yes
  • Store Delivery: Yes

Prices are for internet purchases only. Prices and availability in WHSmith Stores may vary significantly

Close