1996
DOI: 10.1002/j.2333-8504.1996.tb01691.x
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Generative Response Modeling: Leveraging the Computer as a Test Delivery Medium

Abstract: Generative response modeling is an approach to test development and response modeling that calls for the creation of items in such a way that the parameters of the items on some response model can be anticipated through knowledge of the psychological processes and knowledge required to respond to the item. That is, the computer would not merely retrieve an item from a database, as is the case in adaptive testing, but would compose it, or assist in doing so, according to desired specifications. This approach to… Show more

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Cited by 19 publications
(19 citation statements)
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“…As can be seen, no bias is observed under any condition. Thus, as has been observed elsewhere (Bejar, 1996;Embretson, 1999), the impact of lack of isomorphicism is primarily in measurement precision, although the losses at some levels of ability appear to be minimal. This outcome is fortunate, as a loss of precision can be compensated, but bias would be more difficult to correct.…”
Section: Results Of the Simulation Studysupporting
confidence: 55%
See 1 more Smart Citation
“…As can be seen, no bias is observed under any condition. Thus, as has been observed elsewhere (Bejar, 1996;Embretson, 1999), the impact of lack of isomorphicism is primarily in measurement precision, although the losses at some levels of ability appear to be minimal. This outcome is fortunate, as a loss of precision can be compensated, but bias would be more difficult to correct.…”
Section: Results Of the Simulation Studysupporting
confidence: 55%
“…In this report, we have adopted the term item modeling to refer this approach. An item model (Bejar, 1996) can be thought of as a procedure for instantiating isomorphic items -items that contain comparable content and are exchangeable psychometrically. We view item modeling as construct-driven because it entails an understanding of the goals of the assessment and the application of pertinent psychological research.…”
Section: Introductionmentioning
confidence: 99%
“…The outcome of this algorithmic transcription is often referred to as item modeling. [3][4][5][6] The item modeling process requires the identification of elements within the assessment task so that these elements can be used to create large set of items. [1,7] These generated items may or may not be similar to one another and thus the lexical similarity among the generated items is often unknown.…”
Section: Introductionmentioning
confidence: 99%
“…While efforts to create new items are laborious for multiple-choice (MC) items, the same for complex constructed-response (CR) tasks are even more challenging. Due to the effort, expense, and occasionally inconsistent item quality associated with traditional item production, there is an increasing interest in using item models (Bejar, 1996) to guide production of items, automatically or manually, with similar conceptual and statistical properties. Items produced from a single item model, whether by automatic item generation (AIG) systems (Irvine & Kyllonen, 2002) or by rigorous manual procedures, are related to one another through the common generating model, and therefore constitute a family of related items.…”
Section: Introductionmentioning
confidence: 99%