Innovative psychometric modeling and methods

• Other Authors: Jiao, Hong, 1968- (Editor), Lissitz, Robert W. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Bingley, U.K : Emerald Publishing Limited : Information Age Publishing, Inc., 2020.
• Series: MARCES book series.
• Subjects: Educational evaluation.; Psychometrics > Methods.; Educational tests and measurements.; Education > Evaluation & Assessment.; Psychological testing and measurement.; Education: examinations and assessment.; elektronické knihy; electronic books
• ISBN: 9781806605101
• DOI: 10.1108/9781648022241
• Physical Description: 1 online resource (242 pages)

"The general theme of this book is to present the innovative psychometric modeling and methods. In particular, this book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from ga...

Table of Contents:

• Chapter 1. Advances in psychometric methods for uncovering latent structure and cognitive processes / Steven Andrew Culpepper
• Chapter 2. Improving attribute classification accuracy in high dimensional data: A four-step latent regression approach / Yan Sun and Jimmy de la Torre
• Chapter 3. A dynamic generalized mixed effect model for intensive binary temporal-spatio data from an eye-tracking technique / Sun-Joo Cho, Sarah Brown-Schmidt, Matthew Naveiras, and Paul De Boeck
• Chapter 4. Application of network analysis in understanding collaborative problem-solving processes and skills / Mengxiao Zhu, Jessica Andrews-Todd, and Mo Zhang
• Chapter 5. Irtree modeling of cognitive processes based on outcome and intermediate data / Paul De Boeck and Sun-Joo Cho
• Chapter 6. Prerequisite structure finding using the conjunctive root causes model / Xinchu Zhao, Benjamin Deonovic, and Gunter Maris
• Chapter 7. A graphical and generalized linear model approach to latent variable modeling / Frank Rijmen
• Chapter 8. Modeling hint requests, response times, and response accuracy in adaptive learning systems / Maria Bolsinova, Benjamin Deonovic, Meirav Attali, and Gunter Maris
• Chapter 9. Identifying observable outcomes in game-based assessments / Russell Almond, Valerie J. Shute, Seyfullah Tingir, and Seyedahmad Rahimi
• Chapter 10. A regime-switching (rs) framework for formulating multi-phase linear and nonlinear growth curve models / Sy-Miin Chow, Dongjun You, and Tracy Clouthier. About the Editors.