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- Psychometrics An Introduction Furr
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- •A brief history of psychometrics •The main types of tests •The 10 most common tests •Why psychometrics?: Clinical versus actuarial judgment Psychometrics: An intro A brief history • Testing for proficiency dates back to 2200 B.C., when the Chinese emperor used grueling tests to assess fitness for office Psychometrics: An intro.
- In Psychometrics, R Michael Furr and Verne R Bacharach centre their 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'.
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- In Psychometrics: An Introduction, authors R. Michael Furr and Verne R. Bacharach center their 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.' Their goal is to introduce psychometric principles at a.
Psychometrics An Introduction Furr
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- 'oeThe main advantage of the text is a more contemporary and conceptual presentation of the material. I have been looking for a book with this level and focus for some time'� � � � � � � � � � � � � � � � � � � 'Steven Pulos, University of Northern Colorado In Psychometrics: An Introduction , authors R. Michael Furr and Verne R. Bacharach center their presentation of material around a conceptual understanding of psychometric issues, such as validity and reliability, and on purpose rather than procedure, the 'oewhy' rather than the 'oehow to.' Their goal is to introduce psychometric principles at a level that is deeper and more focused than found in introductory undergraduate testing and measurement texts but that is more intuitive than traditionally found in the more technical publications intended for graduate courses. 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. 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. INTENDED AUDIENCE Appropriate for advanced undergraduate and graduate courses such as Psychometrics, Testing and Measurement, Research Methods, and Experimental Methods across a range of behavioral sciences and education.
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Michael Furr is Professor of Psychology at Wake Forest University, where he teaches and conducts research psychometrics an introduction furr personality psychology, psychological measurement, and quantitative methods. From a perspective that focuses on the meaning, purpose, and implications of key psychometric concepts, principles, and procedures, Psychometrics: An Introduction, Second Edition (by R. Michael Furr and Verne R. Bacharach) introduces the subject and study of psychometrics.
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- SAGE Publications, Incorporated
- 1412927609
- 9781412927604
- 60068368
Product Key Features
- Hardcover
- 2007
- English
Dimensions
- 28 oz.
- 7in.
- 1in.
- 10in.
Additional Product Features
- 22
- 1. Psychometrics and the Importance of Psychological Measurement Observable Behavior and Unobservable Attributes Psychological Tests: Definition and Types Psychometrics Challenges to Measurement in Psychology Theme: The Importance of Individual Differences 2. Scaling Fundamental Issues and Numbers Units of Measurement Additivity and Counting Four Scales of Measurement Summary Suggested Readings 3. Individual Differences and Correlations The Nature of Variability Importance of Individual Differences Variability and Distribution of Scores Distribution Shapes and Normal Distributions Quantifying the Association Between Distributions Variance of 'Composite Scores' Interpreting Test Scores Test Norms Summary Suggested Readings 4. Test Dimensionality and Factor Analysis Test Dimensionality Factor Analysis: Examining the Dimensionality of a Test Summary Suggested Readings 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 Summary 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 7. Importance of Reliability Behavioral Research Applied Behavioral Practice: Evaluation of an Individual's Test Score Test Construction and Refinement Summary Suggested Readings 8. Validity: The Conceptual Basis What is 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 The Importance of Validity Summary Suggested Readings 9. Validity: Estimating and Evaluating Convergent and Discriminant Validity Methods for Evaluating Convergent and Discriminant Validity Factors Affecting a Validity Coefficient Interpreting a Validity Coefficient Summary Suggested Readings 10. Response Biases Types of Response Biases Methods for Coping with Response Biases Response Biases, Response Sets, and Response Styles Summary Suggested Readings 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 Summary Suggested Readings 12. Generalizability Theory Multiple Facets of Measurement Generalizability and Variance Components G Studies and D Studies Conducting and Interpreting Generalizability Theory Analysis: A One-facet Design Conducting and Interpreting Generalizability Theory Analysis: A Two-facet Design Other Measurement Designs Summary Footnote Suggested Readings 13. Item Response Theory and Rasch Models Basics of IRT IRT Measurement Models An Example of IRT: A Rasch Model Item and Test Information Applications of IRT Summary Suggested Readings
- Yes
- 150.1/5195
- 2008
- Verne R. Bacharach, R. Michael Furr
- 368 Pages
- Bf39.F87 2008
- 2007-10-19
- 2007-016663
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