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About this product
- Author(s)Francesco Bartolucci,Michela Gnaldi,Silvia Bacci
- PublisherTaylor & Francis Inc
- Date of Publication23/07/2015
- Series TitleChapman & Hall/CRC Interdisciplinary Statistics
- Series Part/Volume Number34
- Place of PublicationBosa Roca
- Country of PublicationUnited States
- ImprintCRC Press Inc
- Content Note42 black & white illustrations, 17 black & white tables
- Weight589 g
- Width156 mm
- Height235 mm
- Spine23 mm
- Table Of ContentsPreliminaries Introduction Psychological Attributes as Latent Variables Challenges in the Measurement of Latent Constructs What Is a Questionnaire? Main Steps in Questionnaire Construction What Is Psychometric Theory? Notation Datasets Used for Examples Classical Test Theory Introduction Foundation Models Conceptual Approaches of Reliability Reliability of Parallel and Nonparallel Tests Procedures for Estimating Reliability True Score Estimation Item Analysis Validity Test Bias Generalizability Theory Examples Item Response Theory Models for Dichotomous Items Introduction Model Assumptions Rasch Model 2PL Model 3PL Model Random-Effects Approach Summary about Model Estimation Examples Item Response Theory Models for Polytomous Items Introduction Model Assumptions Taxonomy of Models for Polytomous Responses Models for Ordinal Responses Models for Nominal Responses Examples Estimation Methods and Diagnostics Introduction Joint Maximum Likelihood Method Conditional Maximum Likelihood Method Marginal Maximum Likelihood Method Estimation of Models for Polytomous Items Graphical Diagnostic Tools Goodness-of-Fit Infit and Outfit Statistics Differential Item Functioning Examples Appendix Some Extensions of Traditional Item Response Theory Models Introduction Models with Covariates Models for Clustered and Longitudinal Data Multidimensional Models Structural Equation Modeling Setting Examples Exercises appear at the end of each chapter.
- Author BiographyFrancesco Bartolucci is a professor of statistics in the Department of Economics at the University of Perugia. Dr. Bartolucci is an associate editor of Metron and Statistical Modelling: An International Journal. His research interests include latent variable models, marginal models for categorical data, and longitudinal categorical data. He has collaborated with many researchers and published articles on these topics in top statistical journals. Silvia Bacci is an assistant professor of statistics in the Department of Economics at the University of Perugia. Her research interests include multidimensional and latent class item response theory models and extensions, estimation of item response theory models with R, latent Markov models for multivariate longitudinal data, and the application of these methods and models in educational and quality-of-life settings. She has published articles on these topics in international journals and participated in several research projects. Michela Gnaldi is an assistant professor of applied statistics in the Department of Political Sciences at the University of Perugia. She is editorial manager of the Italian Journal of Applied Statistics. Her main research interest concerns measurement in education, with particular regard to multidimensional, multilevel, and latent class item response theory models. She has published articles on these topics in international journals and participated in several projects in Italy and the United Kingdom. She actively collaborates with the Istituto Nazionale di Valutazione del Sistema dell'Istruzione (INVALSI).
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