Statistical analysis of questionnaires : a unified approach based on R and Stata / Francesco Bartolucci, Silvia Bacci and Michela Gnaldi.
Material type:
TextSeries: Chapman & Hall/CRC interdisciplinary statistics seriesPublication details: Boca Raton : CRC Press, ©2016.Description: xxi, 305 pages : illustrations ; 25 cmISBN: - 9781466568495
- 000SB:300 23 B292
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:300 B292 (Browse shelf(Opens below)) | Available | 137472 |
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| 000SB:300 B114 Fundamentals of regression modeling / | 000SB:300 B114 Fundamentals of regression modeling / | 000SB:300 B171 Methods and applications of statistics in the social and behavioral sciences / | 000SB:300 B292 Statistical analysis of questionnaires : | 000SB:300 B613 Does game theory work? | 000SB:300 B626 Interpretations of sociometric choice status | 000SB:300 B637 Social statistics |
Includes bibliographical references and index.
1. Preliminaries --
2. Classical test theory --
3. Item response theory models for dichotomous items --
4. Item response theory models for polytmous items --
5. Estimation methods and diagnostics --
6. Some extensions of traditional item response theory models.
The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in education, psychology, sociology, and other fields. It is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing.The book covers the foundations of classical test theory (CTT), test reliability, validity, and scaling as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, such as IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also describe estimation methods and diagnostics, including graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning.
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