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Titlebook: Item Response Theory; Principles and Appli Ronald K. Hambleton,Hariharan Swaminathan Book 1985 Springer Science+Business Media New York 198

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书目名称Item Response Theory
副标题Principles and Appli
编辑Ronald K. Hambleton,Hariharan Swaminathan
视频video
图书封面Titlebook: Item Response Theory; Principles and Appli Ronald K. Hambleton,Hariharan Swaminathan Book 1985 Springer Science+Business Media New York 198
描述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
出版日期Book 1985
关键词attention; complexity; computer; development; information; research
版次1
doihttps://doi.org/10.1007/978-94-017-1988-9
isbn_softcover978-90-481-5809-6
isbn_ebook978-94-017-1988-9
copyrightSpringer Science+Business Media New York 1985
The information of publication is updating

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sponse 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 th
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Item Response Models,ed aptitude and achievement test data. In this chapter, models that can be applied to multicategory scored items (e.g., Likert five-point attitude scales) and continuous data will be briefly described.
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Construction of Tests,for identifying misfitting items were considered in chapters 8 and 9. At the present level of our technical sophistication, the test developer, faced with a misfitting item, can do little more than subjectively examine the item and hope that the reason for misfit will be apparent.
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Estimation of Item and Ability Parameters,aises several problems. The estimators in such situations may not possess desirable properties. Despite some of the problems that exist, several estimation procedures are currently available. We shall discuss these procedures in this chapter.
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Examples of Model-Data Fit Studies,meter logistic models to four mathematics tests in the 1977–78 National Assessment of Educational Progress will be described. This chapter is intended to serve as a case-study for how a researcher might approach the problem of assessing model-data fit.
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Practical Considerations in Using IRT Models,its applicability is almost totally dependent on the availability of large computers. The basic question that arises then is: Under what circumstances should the practitioner take the plunge and apply item response theory procedures?
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