| 书目名称 | The Basics of Item Response Theory Using R |
| 编辑 | Frank B. Baker,Seock-Ho Kim |
| 视频video | |
| 概述 | Combines clearly written text and succinct R code.Utilizes a building-block approach from simple to complex, enabling readers to develop a clinical feel for item response theory and how its concepts a |
| 丛书名称 | Statistics for Social and Behavioral Sciences |
| 图书封面 |  |
| 描述 | This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics..Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiarwith statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any le |
| 出版日期 | Textbook 2017 |
| 关键词 | ability parameter; binary items; classical test theory; dichotomously scored; difficulty parameter; discr |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-54205-8 |
| isbn_softcover | 978-3-319-85343-7 |
| isbn_ebook | 978-3-319-54205-8Series ISSN 2199-7357 Series E-ISSN 2199-7365 |
| issn_series | 2199-7357 |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 16:44:00
