| Title |
A Procedure for Dimensionality Analyses of Response Data from Various Test Designs
|
|---|---|
| Published in |
Psychometrika, September 2012
|
| DOI | 10.1007/s11336-012-9287-z |
| Pubmed ID | |
| Authors |
Jinming Zhang |
| Abstract |
In some popular test designs (including computerized adaptive testing and multistage testing), many item pairs are not administered to any test takers, which may result in some complications during dimensionality analyses. In this paper, a modified DETECT index is proposed in order to perform dimensionality analyses for response data from such designs. It is proven in this paper that under certain conditions, the modified DETECT can successfully find the dimensionality-based partition of items. Furthermore, the modified DETECT index is decomposed into two parts, which can serve as indices of the reliability of results from the DETECT procedure when response data are judged to be multidimensional. A simulation study shows that the modified DETECT can successfully recover the dimensional structure of response data under reasonable specifications. Finally, the modified DETECT procedure is applied to real response data from two-stage tests to demonstrate how to utilize these indices and interpret their values in dimensionality analyses. |
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| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 35% |
| Professor > Associate Professor | 4 | 17% |
| Student > Ph. D. Student | 4 | 17% |
| Other | 2 | 9% |
| Student > Doctoral Student | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 48% |
| Social Sciences | 4 | 17% |
| Computer Science | 2 | 9% |
| Philosophy | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2012.
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#15,256,901
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Outputs from Psychometrika
#343
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Outputs of similar age
#107,197
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Outputs of similar age from Psychometrika
#3
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