How Item Response Theory can solve problems of ipsative data

摘要: 3 Introduction 4 Single-stimulus response format Response biases affecting single-stimulus items 5 Forced-choice 7 Problems of ipsative data 8 Relative nature scores 9 Distorted construct validity 10 reliability estimates 11 Inadequacy the classical methods scoring forced-choice 13 IRT approaches to 14 The need model dominance 16 Thurstone’s framework for comparative judgment 17 Method 20 Binary coding Thurstonian factor models 22 ranking Items as indicators latent traits 24 Models 27 Reparameterized (first-order model) Identification questionnaires ...... 31 Item characteristic function 32 Estimation 34 Latent trait estimation 36 Information functions and 37 42 Simulation studies 45 study 1. A questionnaire measuring 2 ........ 46