Psychometrics An Introduction 3e R.Michael Furr
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In Psychometrics: An Introduction, R. Michael Furr centres his 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." 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, but why it is important to address them.
Key features:
Presents information in a clear, easy-to-read, conversational style
Highlights practical applications
Offers an up-to-date treatment of topics in psychometrics
Introduces statistical procedures in the context of their use rather than in a separate chapter
Chapter 1: Psychometrics and the Importance of Psychological Measurement
Chapter 2: Scaling
Chapter 3: Individual Differences and Correlations
Chapter 4: Test Dimensionality and Factor Analysis
Chapter 5: Reliability: Conceptual Basis
Chapter 6: Empirical Estimates of Reliability
Chapter 7: The Importance of Reliability
Chapter 8: Validity: Conceptual Basis
Chapter 9: Estimating and Evaluating Convergent and Discriminant Validity Evidence
Chapter 10: Response Biases
Chapter 11: Test Bias
Chapter 12: Confirmatory Factor Analysis
Chapter 13: Generalizability Theory
Chapter 14: Item Response Theory and Rasch Models
Key features:
Presents information in a clear, easy-to-read, conversational style
Highlights practical applications
Offers an up-to-date treatment of topics in psychometrics
Introduces statistical procedures in the context of their use rather than in a separate chapter
Chapter 1: Psychometrics and the Importance of Psychological Measurement
Chapter 2: Scaling
Chapter 3: Individual Differences and Correlations
Chapter 4: Test Dimensionality and Factor Analysis
Chapter 5: Reliability: Conceptual Basis
Chapter 6: Empirical Estimates of Reliability
Chapter 7: The Importance of Reliability
Chapter 8: Validity: Conceptual Basis
Chapter 9: Estimating and Evaluating Convergent and Discriminant Validity Evidence
Chapter 10: Response Biases
Chapter 11: Test Bias
Chapter 12: Confirmatory Factor Analysis
Chapter 13: Generalizability Theory
Chapter 14: Item Response Theory and Rasch Models
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