<p>This book presents a thorough treatment and unified coverage of Bayesian item response modeling with applications in a variety of disciplines, including education, medicine, psychology, and sociology. Breakthroughs in computing technology have made the Bayesian approach particularly useful for ma
Item Response Theory: Principles and Applications
โ Scribed by Ronald K. Hambleton, Hariharan Swaminathan (auth.)
- Publisher
- Springer Netherlands
- Year
- 1985
- Tongue
- English
- Leaves
- 340
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
In the decade of the 1970s, item response theory became the dominant topic for study by measurement specialists. But, the genesis of item response theory (IRT) can be traced back to the mid-thirties and early forties. In fact, the term "Item Characteristic Curve," which is one of the main IRT concepts, can be attributed to Ledyard Tucker in 1946. Despite these early research efforts, interest in item response theory lay dormant until the late 1960s and took a backseat to the emerging development of strong true score theory. While true score theory developed rapidly and drew the attention of leading psychometricians, the problems and weaknesses inherent in its formulation began to raise concerns. Such problems as the lack of invariance of item parameters across examinee groups, and the inadequacy of classical test procedures to detect item bias or to provide a sound basis for measurement in "tailored testing," gave rise to a resurgence of interest in item response theory. Impetus for the development of item response theory as we now know it was provided by Frederic M. Lord through his pioneering works (Lord, 1952; 1953a, 1953b). The progress in the fifties was painstakingly slow due to the mathematical complexity of the topic and the nonexistence of computer programs.
โฆ Table of Contents
Front Matter....Pages i-xviii
Some Background to Item Response Theory....Pages 1-14
Assumptions of Item Response Theory....Pages 15-31
Item Response Models....Pages 33-52
Ability Scales....Pages 53-73
Estimation of Ability....Pages 75-99
The Information Function and its Applications....Pages 101-124
Estimation of Item and Ability Parameters....Pages 125-150
Approaches for Addressing Model-Data Fit....Pages 151-169
Examples of Model-Data Fit Studies....Pages 171-195
Test Equating....Pages 197-223
Construction of Tests....Pages 225-253
Item Banking....Pages 255-279
Miscellaneous Applications....Pages 281-303
Practical Considerations in Using IRT Models....Pages 305-310
Back Matter....Pages 311-332
โฆ Subjects
Assessment, Testing and Evaluation; Education (general)
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