Introduction to Test Theory

First published in 2014. Routledge is an imprint of Taylor & Francis, an informa company.

Table of Contents:
PART I: Introduction to Test Theory Chapter 1 General Introduction Miller Historical Context Definition of terms Defining Test Theory Organization of Text Exercises Chapter 2 Test Development Poggio Overview of test development process Defining purposes of tests Identifying behaviors Test specifications Item types and item construction Item review Item tryout Field testing Item analysis/reliability/validity Preparing guidelines Summary Exercises Chapter 3 Item and Test Statistics Poggio Item Statistics for Binary Items Item Statistics for non-Binary Items Composites and Test Variance Summary Exercises Drop chapter 4 and move the topics to other chapters as listed below: Scales of Measurement Move to Chapter 3 Approaches to Scaling Move to Norms and Scaling Chapter PART II: Reliability Chapter 4 Reliability and Classical Test Theory Miller Classical Test Theory Reliability Index and Reliability Coefficient Spearman-Brown and Coefficient Alpha Standard Error of Measurement Summary Exercises Chapter 5 Reliability Estimation and Applications Miller Estimating Reliability with Two Test Administrations Estimating Reliability with a Single Test Administration Factors Affecting Reliability Coefficients Test Length Standardized Procedures Test Variance and Sampling Reliability of Difference Scores Predicting True Scores Standard Errors and Score Interpretation Reporting Reliability Summary Exercises Chapter 6 Reliability for Criterion-referenced Tests Poggio Use of Criterion-Referenced Tests Reliability for Domain Scores Reliability for Mastery Classifications Summary Exercises Chapter 7 Item Analysis Poggio Item Means (Difficulty) and Item Variance Item Discrimination Item Analysis for Criterion-referenced Tests Summary Exercises Chapter 8 Generalizability Theory Miller Definitions and Terminology G-studies and Estimating Variance Components Variances and Generalizability Coefficients D-Studies for Single Fact Design D-Studies for Two-Facet Design Universes with Fixed Facets Other Issues in Generalizability Summary Exercises PART III: VALIDITY Chapter 9 Introduction to Validity History of validity Test Standards Content and Validity Correlations and Validity Convergent and Discriminant Validity Multitrait-Multimethod Matrices Internal Measures of Validity Summary Exercises Chapter 10 Prediction and Classification Bivariate Regression Multiple Regression Partial Covariance and Correlation Summary Exercises Chapter 11 Comparing Populations Definitions and Terminology Offensiveness: Content Review Fair Selection Procedures DIF: Binary Items Summary Exercises Chapter 12 Factor Analysis Models Factor Loadings Rotation Orthogonal Rotations Oblique Rotations Communalities and Uniquenesses Confirmatory Approaches Summary Exercises PART IV: SCALES Chapter 13 Norming and Standard Scores Conducting a Norming Study Probability Sampling Types of Normative Scales Summary Exercises Chapter 14 Standard Setting Methods of Standard Setting Uses of Standards Summary Exercises Chapter 15 Item Response Theory Definitions and Terminology Normal Ogive Models Logistic Models Local Independence Estimation of Parameters Applications of Item Response Theory Additional Models Summary Exercises Chapter 16 Equating Definition and Terminology Equating Designs Statistical Methods of Equating Equipercentile Linear Equating with Item Response Theory Summary Exercises Chapter 17 Future Topics