Principles of Psychological Assessment : With Applied Examples in R

Discusses psychometrics, the assessment of various psychological domains, various measurement methods and emerging analytical frameworks to evaluate and improve assessment, generalizability theory, structural equation modeling, item response theory, and signal detection theory, ethics, test bias, and cultural and individual diversity.

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 FeaturesGives analysis examples using free softwareHelps readers apply principles to research and practiceProvides text, analysis code/syntax, R output, figures, and interpretations integrated to guide readersUses the freely available petersenlab package for RPrinciples of Psychological Assessment: With Applied Examples in R is intended for use by graduate students, faculty, researchers, and practicing psychologists.