Introduction -- Getting Started -- 1. The Item Characteristic Curve -- 2. Item Characteristic Curve Models -- 3. Estimating Item Parameters -- 4. The Test Characteristic Curve -- 5. Estimating an Examinee's Ability -- 6. The Information Function -- 7. Test Calibration -- 8. Specifying the Characteri
The Basics of Item Response Theory using R
โ Scribed by Frank B. Baker, Seock-Ho Kim
- Publisher
- Springer
- Year
- 2017
- Tongue
- English
- Leaves
- 173
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Introduction -- Getting Started -- 1. The Item Characteristic Curve -- 2. Item Characteristic Curve Models -- 3. Estimating Item Parameters -- 4. The Test Characteristic Curve -- 5. Estimating an Examinee's Ability -- 6. The Information Function -- 7. Test Calibration -- 8. Specifying the Characteri
<p>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
Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. <i>Using R for Item Response Theory Model Applications</i> is a practical guide for students, instructors, practitioners, and
<p>Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. <i>Using R for Item Response Theory Model Applications</i> is a practical guide for students, instructors, practitioners,