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Main Authors: Smith, Trevor I., Kazmi, Mohammad A., Sarles III, Richard R., Sbrana, Joshua A., Soper, Cody W., Bendjilali, Nasrine
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2410.05231
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author Smith, Trevor I.
Kazmi, Mohammad A.
Sarles III, Richard R.
Sbrana, Joshua A.
Soper, Cody W.
Bendjilali, Nasrine
author_facet Smith, Trevor I.
Kazmi, Mohammad A.
Sarles III, Richard R.
Sbrana, Joshua A.
Soper, Cody W.
Bendjilali, Nasrine
contents Previous work has shown that item response theory may be used to rank incorrect response options to multiple-choice items on commonly used assessments. This work has shown that, when the correct response to each item is specified, a nominal response model (NRM) may be used to rank the incorrect options. We seek to determine the robustness of these results by applying the NRM to all response choices, without specifying the correct response. We apply these analyses to multiple data sets (each with more than 9,000 response sets), including pre-instruction and post-instruction responses. We find that the rankings generated without specifying the correct response are consistent with the previously published rankings for one data set; however, we find noticeable differences between rankings generated from different data sets. We provide evidence that discrepancies may result from differences in response rates for less commonly chosen responses.
format Preprint
id arxiv_https___arxiv_org_abs_2410_05231
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Comparing item response theory models for ranking incorrect response options
Smith, Trevor I.
Kazmi, Mohammad A.
Sarles III, Richard R.
Sbrana, Joshua A.
Soper, Cody W.
Bendjilali, Nasrine
Physics Education
Previous work has shown that item response theory may be used to rank incorrect response options to multiple-choice items on commonly used assessments. This work has shown that, when the correct response to each item is specified, a nominal response model (NRM) may be used to rank the incorrect options. We seek to determine the robustness of these results by applying the NRM to all response choices, without specifying the correct response. We apply these analyses to multiple data sets (each with more than 9,000 response sets), including pre-instruction and post-instruction responses. We find that the rankings generated without specifying the correct response are consistent with the previously published rankings for one data set; however, we find noticeable differences between rankings generated from different data sets. We provide evidence that discrepancies may result from differences in response rates for less commonly chosen responses.
title Comparing item response theory models for ranking incorrect response options
topic Physics Education
url https://arxiv.org/abs/2410.05231