A Comparison of the Traditional Maximum Information Method and the Global Information Method in CAT Item Selection.
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| Title: | A Comparison of the Traditional Maximum Information Method and the Global Information Method in CAT Item Selection. |
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| Language: | English |
| Authors: | Tang, K. Linda |
| Peer Reviewed: | N |
| Page Count: | 21 |
| Publication Date: | 1996 |
| Document Type: | Reports - Evaluative Speeches/Meeting Papers |
| Descriptors: | Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Estimation (Mathematics), Selection, Test Construction, Test Items |
| Abstract: | The average Kullback-Keibler (K-L) information index (H. Chang and Z. Ying, in press) is a newly proposed statistic in Computerized Adaptive Testing (CAT) item selection based on the global information function. The objectives of this study were to improve understanding of the K-L index with various parameters and to compare the performance of the K-L index with the traditional information method in CAT item selection. The results of this study, based on simulated and real data with 500 items each, provide evidence that Chang and Ying's global information method produced similar or better true ability theta estimates than the more traditional information approach in CAT item selection. In addition, results from the real item pool analyses indicate the parameter that provides the best theta estimates among the four K-L indices studied. (Contains one table, seven figures, and six references.) (Author/SLD) |
| Entry Date: | 1996 |
| Accession Number: | ED398252 |
| Database: | ERIC |
| Abstract: | The average Kullback-Keibler (K-L) information index (H. Chang and Z. Ying, in press) is a newly proposed statistic in Computerized Adaptive Testing (CAT) item selection based on the global information function. The objectives of this study were to improve understanding of the K-L index with various parameters and to compare the performance of the K-L index with the traditional information method in CAT item selection. The results of this study, based on simulated and real data with 500 items each, provide evidence that Chang and Ying's global information method produced similar or better true ability theta estimates than the more traditional information approach in CAT item selection. In addition, results from the real item pool analyses indicate the parameter that provides the best theta estimates among the four K-L indices studied. (Contains one table, seven figures, and six references.) (Author/SLD) |
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