Applying the Rasch Model pdf epub mobi txt 电子书 下载 2024


Applying the Rasch Model

简体网页||繁体网页
Bond, Trevor G./ Fox, Christine M.
Lawrence Erlbaum Assoc Inc
2007-4
360
$ 163.85
HRD
9780805854619

图书标签: 心理学   


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发表于2024-11-25

Applying the Rasch Model epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Applying the Rasch Model epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Applying the Rasch Model pdf epub mobi txt 电子书 下载 2024



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Written in an accessible style, this book facilitates a deep understanding of the Rasch model. Authors Bond and Fox review the crucial properties of the Rasch model and demonstrate its use with a wide range of examples including the measurement of educational achievement, human development, attitudes, and medical rehabilitation. A glossary and numerous illustrations further aid the reader's understanding. The authors demonstrate how to apply Rasch analysis and prepare readers to perform their own analyses and interpret the results. Updated throughout, highlights of the Second Edition include: a new CD that features an introductory version of the latest Winsteps program and the data files for the book's examples, preprogrammed to run using Winsteps; a new chapter on invariance that highlights the parallels between physical and human science measurement; a new appendix on analyzing data to help those new to Rasch analysis; more explanation of the key concepts and item characteristic curves; a new empirical example with data sets demonstrates the many facets of the Rasch model and other new examples; and an increased focus on issues related to unidimensionality, multidimensionality, and the Rasch factor analysis of residuals. Applying the Rasch Model is intended for researchers and practitioners in psychology, especially developmental psychologists, education, health care, medical rehabilitation, business, government, and those interested in measuring attitude, ability, and/or performance. The book is an excellent text for use in courses on advanced research methods, measurement, or quantitative analysis. Significant knowledge of statistics is not required.

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