Description
This book highlights the principles of psychological assessment to help researchers and clinicians better develop, evaluate, administer, score, integrate, and interpret psychological assessments. It discusses psychometrics (reliability and validity), the assessment of various psychological domains (behavior, personality, intellectual functioning), various measurement methods (e.g., questionnaires, observations, interviews, biopsychological assessments, performance-based assessments), and emerging analytical frameworks to evaluate and improve assessment including: generalizability theory, structural equation modeling, item response theory, and signal detection theory. The text also discusses ethics, test bias, and cultural and individual diversity.
Key Features
- Gives analysis examples using free software
- Helps readers apply principles to research and practice
- Provides text, analysis code/syntax, R output, figures, and interpretations integrated to guide readers
- Uses the freely available petersenlab package for R
Principles of Psychological Assessment: With Applied Examples in R is intended for use by graduate students, faculty, researchers, and practicing psychologists.
Table of Contents
1. Scores and Scales. 2. Constructs. 3. Reliability. 4. Validity. 5. Generalizability Theory. 6. Factor Analysis and Principal Component Analysis. 7. Structural Equation Modeling. 8. Item Response Theory. 9. Prediction. 10. Clinical Judgment Versus Algorithmic Prediction. 11. General Issues in Clinical Assessment. 12. Evidence-Based Assessment. 13. Ethical Issues in Assessment. 14. Intellectual Assessment. 15. Test Bias. 16. The Interview and the DSM. 17. Objective Personality Testing. 18. Projective Personality Testing. 19. Psychophysiological and Ambulatory Assessment. 20. Computers and Adaptive Testing. 21. Behavioral Assessment. 22. Repeated Assessments Across Time. 23. Assessment of Cognition. 24 Cultural and Individual Diversity.
