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- Publisher Website: 10.1111/j.1745-3984.2008.00058.x
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Article: Improving person-fit assessment by correcting the ability estimate and its reference distribution
Title | Improving person-fit assessment by correcting the ability estimate and its reference distribution |
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Authors | |
Issue Date | 2008 |
Citation | Journal of Educational Measurement, 2008, v. 45, n. 2, p. 159-177 How to Cite? |
Abstract | The standardized log-likelihood of a response vector (lz) is a popular IRT-based person-fit test statistic for identifying model-misfitting response patterns. Traditional use of lz is overly conservative in detecting aberrance due to its incorrect assumption regarding its theoretical null distribution. This study proposes a method for improving the accuracy of person-fit analysis using lz which takes into account test unreliability when estimating the ability and constructs the distribution for each lz through resampling methods. The Type I error and power (or detection rate) of the proposed method were examined at different test lengths, ability levels, and nominal α levels along with other methods, and power to detect three types of aberrance - cheating, lack of motivation, and speeding - was considered. Results indicate that the proposed method is a viable and promising approach. It has Type I error rates close to the nominal value for most ability levels and reasonably good power. © 2008 by the National Council on Measurement in Education. |
Persistent Identifier | http://hdl.handle.net/10722/228059 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 0.755 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | De La Torre, Jimmy | - |
dc.contributor.author | Deng, Weiling | - |
dc.date.accessioned | 2016-08-01T06:45:05Z | - |
dc.date.available | 2016-08-01T06:45:05Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Journal of Educational Measurement, 2008, v. 45, n. 2, p. 159-177 | - |
dc.identifier.issn | 0022-0655 | - |
dc.identifier.uri | http://hdl.handle.net/10722/228059 | - |
dc.description.abstract | The standardized log-likelihood of a response vector (lz) is a popular IRT-based person-fit test statistic for identifying model-misfitting response patterns. Traditional use of lz is overly conservative in detecting aberrance due to its incorrect assumption regarding its theoretical null distribution. This study proposes a method for improving the accuracy of person-fit analysis using lz which takes into account test unreliability when estimating the ability and constructs the distribution for each lz through resampling methods. The Type I error and power (or detection rate) of the proposed method were examined at different test lengths, ability levels, and nominal α levels along with other methods, and power to detect three types of aberrance - cheating, lack of motivation, and speeding - was considered. Results indicate that the proposed method is a viable and promising approach. It has Type I error rates close to the nominal value for most ability levels and reasonably good power. © 2008 by the National Council on Measurement in Education. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Educational Measurement | - |
dc.title | Improving person-fit assessment by correcting the ability estimate and its reference distribution | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/j.1745-3984.2008.00058.x | - |
dc.identifier.scopus | eid_2-s2.0-43949138622 | - |
dc.identifier.volume | 45 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 159 | - |
dc.identifier.epage | 177 | - |
dc.identifier.eissn | 1745-3984 | - |
dc.identifier.isi | WOS:000255945100004 | - |
dc.identifier.issnl | 0022-0655 | - |