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Psychometrics
An Introduction

Third Edition


© 2018 | 568 pages | SAGE Publications, Inc

Using a meaning-based approach that emphasizes the “why” over the “how to,” Psychometrics: An Introduction provides thorough coverage of fundamental issues in psychological measurement. Author R. Michael Furr discusses traditional psychometric perspectives and issues including reliability, validity, dimensionality, test bias, and response bias as well as advanced procedures and perspectives including item response theory and generalizability theory. The substantially updated Third Edition includes broader and more in-depth coverage with new references, a glossary summarizing over 200 key terms, and expanded suggested readings consisting of highly relevant papers to enhance the book’s overall accessibility, scope, and usability for both instructors and students.

Online Resources

Free PowerPoint® slides for instructors are available with this text. Contact your rep to learn more.

 
Preface
 
About the Author
 
Chapter 1: Psychometrics and the Importance of Psychological Measurement
Why Psychological Testing Matters to You  
Observable Behavior and Unobservable Psychological Attributes  
Psychological Tests: Definition and Types  
Psychometrics  
Challenges to Measurement in Psychology  
The Importance of Individual Differences  
But Psychometrics Goes Well Beyond "Differential" Psychology  
Suggested Readings  
 
PART I. BASIC CONCEPTS IN MEASUREMENT
 
Chapter 2: Scaling
Fundamental Issues With Numbers  
Units of Measurement  
Additivity and Counting  
Four Scales of Measurement  
Summary  
Suggested Readings  
 
Chapter 3: Individual Differences and Correlations
The Nature of Variability  
Importance of Individual Differences  
Variability and Distributions of Scores  
Quantifying the Association Between Distributions  
Variance and Covariance for “Composite Variables”  
Binary Items  
Interpreting Test Scores  
Test Norms  
Summary  
Suggested Readings  
 
Chapter 4: Test Dimensionality and Factor Analysis
Test Dimensionality  
Factor Analysis: Examining the Dimensionality of a Test  
Summary  
Suggested Readings  
 
PART II. RELIABILITY
 
Chapter 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  
From Theory to Practice: Measurement Models and Their Implications for Estimating Reliability  
Domain Sampling Theory  
Summary  
Suggested Readings  
 
Chapter 6: Empirical Estimates of Reliability
Alternate Forms Reliability  
Test–Retest Reliability  
Internal Consistency Reliability  
Sample Homogeneity and Reliability Generalization  
Reliability of Difference Scores  
Summary  
Suggested Readings  
 
Chapter 7: The Importance of Reliability
Applied Behavioral Practice: Evaluation of an Individual’s Test Score  
Behavioral Research  
Test Construction and Refinement  
Summary  
Suggested Readings  
 
PART III. VALIDITY
 
Chapter 8: Validity: Conceptual Basis
What Is Validity?  
The Importance of 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  
Summary  
Suggested Readings  
 
Chapter 9: Estimating and Evaluating Convergent and Discriminant Validity Evidence
A Construct's Nomological Network  
Methods for Evaluating Convergent and Discriminant Validity  
Factors Affecting a Validity Coefficient  
Interpreting a Validity Coefficient  
Summary  
Suggested Readings  
Notes  
 
PART IV. THREATS TO PSYCHOMETRIC QUALITY
 
Chapter 10: Response Biases
Types of Response Biases  
Methods for Coping With Response Biases  
Response Biases, Response Sets, and Response Styles  
Summary  
Suggested Readings  
 
Chapter 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  
Other Statistical Procedures  
Test Fairness  
Example: Is the SAT Biased in Terms of Race or Socioeconomic Status?  
Summary  
Suggested Readings  
 
PART V. ADVANCED PSYCHOMETRIC APPROACHES
 
Chapter 12: Confirmatory Factor Analysis
On the Use of EFA and CFA  
The Process of CFA for Analysis of a Scale’s Internal Structure  
CFA and Reliability  
CFA and Validity  
CFA and Measurement Invariance  
Summary  
Suggested Readings  
 
Chapter 13: Generalizability Theory
Multiple Facets of Measurement  
Generalizability, Universes, 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  
Suggested Readings  
 
Chapter 14: Item Response Theory and Rasch Models
Factors Affecting Responses to Test Items  
IRT Measurement Models  
Obtaining Parameter Estimates: A 1PL Example  
Item and Test Information  
Applications of IRT  
Summary  
Suggested Readings  
 
Glossary
 
References
 
Subject Index
 
Author Index
Key features

 NEW TO THIS EDITION: 

  • Expanded depth and breadth of coverage of key issues in psychometrics, including summaries of relevant statistical packages, introduces readers to a wide range of important concepts, principles, and procedures.
  • Enhanced clarity and accessibility further helps facilitate students’ ability to understand and appreciate the diverse and often highly technical material in psychometric theory.
  • A glossary summarizing over 200 key terms assists readers with identifying and understanding definitions.
  • Updated and expanded references allow readers to review original sources underlying psychometrics and access the latest developments in the literature.
  • Additional end-of-chapter suggested readings give students more opportunities to explore content in greater depth to enhance their learning.
  • Accompanying PowerPoint® slides are available to instructors to make teaching easier.

KEY FEATURES:

  • Information is presented in a clear conversational writing style that does not compromise the academic integrity of the material.
  • Practical applications are highlighted through examples to enhance readers' appreciation of the importance of psychometrics.
  • Statistical procedures are introduced in the context of their use, rather than in a separate chapter, for a more intuitive approach to understanding the material.
  • Integration of statistics with a discussion of their use as tools to solve particular psychometric problems encourages a more complete understanding of both.

 


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