Description
Principles of Test Theories
Author: Suen Hoi K.
Language: English
Subject for Principles of Test Theories:
Keywords
item; response; theory; true; score; parameters; rasch; model; equat; ion; Individual Faculty Member's Teaching; IRT Method; Joint Maximum Likelihood Estimation; Test Information Function; Item Response Theory; Absolute Error Variance; Conditional Maximum Likelihood; Admissible Observations; RANDOM SAMPLING THEORY; True Score; Item Parameters; Rasch Model; Observed Score; Criterion Related Validity; Item Bias; Point Biserial Correlation; Adaptive Testing; Simpson's Paradox; True Score Variance; Anchor Test; Biased Items; Prior Distributions; Marginal Maximum Likelihood Estimation; Equivalent Groups Design; Likelihood Function
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Description
/li>Contents
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Based on a tremendous increase in the development of psychometric theories in the past decade -- ranging from techniques for criterion-referenced testing to behavioral assessment, generalizability, and item response theory -- this book offers a summary of core issues. In so doing, it provides a comprehensive survey of reliability, validity, and item analysis from the perspectives of classical true-score model, generalizability theory, item response theory, criterion-referenced testing, and behavioral assessment. Related theoretical issues such as item bias, equating, and cut-score determination are also discussed. This is an excellent text for courses in statistics, research methods, behavioral medicine and cognitive science as well as educational, school, experimental, counseling/social, clinical, developmental, and personality psychology.
Contents: Part I:Introduction. The Psychometric Process. Some Mathematical and Statistical Concepts. Part II:Random Sampling Theory. Classical Theory. Generalizability Theory: Conceptual Framework. Generalizability Theory: Statistical Methods. Conventional Item Analysis. Part III:Item Response Theory. Basic Concepts of Item Response Theory. Conditional Estimation of Ability. Joint Estimation of Parameters. Part IV:Validity. Content and Criterion-Related Validity. Construct Validity and Other Issues. Part V:Applied Issues. Criterion-Referenced Testing. Direct Observation of Behavior. Detection of Item Bias. Other Conceptual and Technical Issues.
