Ubicación Física: 153.93 / B167 2017
The basics of item response theory using R / | |
Autor: | Baker, Frank B. |
Otros Autores: | Kim, Seock-Ho. |
Serie: | Statistics social and behavioral sciences. |
Pié de imprenta: | Cham, Switzerland : Springer, 2017. |
Descripción: | 174 páginas ; ilustraciones ; 16 x 24 cm. |
ISBN: | 9783319542041. |
Tema(s): | |
Contenido: | 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 informatiom function. 7. Test calibration. 8. Specifying the characteristics of a test. A. R. introduction. B. Estimating item prameters under the two-parameter model with logistic regression. C. Putting the test on a common ability scale: test equating. |
Contenido: | 1. La curva característica del artículo. 2. Modelos de curva característica de artículo. 3. Estimación de los parámetros del artículo. 4. La curva característica de la prueba. 5. Estimación de la capacidad de un examinado. 6. La función de información. 7. Pruebe la calibración. 8. Especificar las características de una prueba. A. R. introducción. B. Estimación de parámetros de ítems bajo el modelo de dos parámetros con regresión logística. C. Poner la prueba en una escala de capacidad común: prueba de equiparación. |
Resumen: | 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 familiar with 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 level and who need an understanding of item response theory in order to evaluate its potential in their settings. (Tomado de la fuente). |
Lista(s) en las que aparece este ítem: Adquisiciones Psicología 2017-
Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libro - Reserva | Sede Cra 13 CYP | Colección General | 153.93/B167/2017 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 64477 |
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 informatiom function. 7. Test calibration. 8. Specifying the characteristics of a test. A. R. introduction. B. Estimating item prameters under the two-parameter model with logistic regression. C. Putting the test on a common ability scale: test equating.
1. La curva característica del artículo. 2. Modelos de curva característica de artículo. 3. Estimación de los parámetros del artículo. 4. La curva característica de la prueba. 5. Estimación de la capacidad de un examinado. 6. La función de información. 7. Pruebe la calibración. 8. Especificar las características de una prueba. A. R. introducción. B. Estimación de parámetros de ítems bajo el modelo de dos parámetros con regresión logística. C. Poner la prueba en una escala de capacidad común: prueba de equiparación.
Psicología
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 familiar with 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 level and who need an understanding of item response theory in order to evaluate its potential in their settings. (Tomado de la fuente).
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