Principles of Psychological Assessment
eBook - ePub

Principles of Psychological Assessment

With Applied Examples in R

  1. 646 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Principles of Psychological Assessment

With Applied Examples in R

About this book

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.

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Yes, you can access Principles of Psychological Assessment by Isaac T. Petersen in PDF and/or ePUB format, as well as other popular books in Psychology & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. List of Figures
  9. List of Tables
  10. Acknowledgments
  11. Introduction
  12. 1 Scores and Scales
  13. 2 Constructs
  14. 3 Reliability
  15. 4 Validity
  16. 5 Generalizability Theory
  17. 6 Factor Analysis and Principal Component Analysis
  18. 7 Structural Equation Modeling
  19. 8 Item Response Theory
  20. 9 Prediction
  21. 10 Clinical Judgment Versus Algorithmic Prediction
  22. 11 General Issues in Clinical Assessment
  23. 12 Evidence-Based Assessment
  24. 13 Ethical Issues in Assessment
  25. 14 Intellectual Assessment
  26. 15 Test Bias
  27. 16 The Interview and the DSM
  28. 17 Objective Personality Testing
  29. 18 Projective Personality Testing
  30. 19 Psychophysiological and Ambulatory Assessment
  31. 20 Computers and Adaptive Testing
  32. 21 Behavioral Assessment
  33. 22 Repeated Assessments Across Time
  34. 23 Assessment of Cognition
  35. 24 Cultural and Individual Diversity
  36. References
  37. Index