{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/99519"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/99519","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Explore the moving sample size used in a procedure for detecting compromised items based on item response theory","abstract":"A computerized adaptive testing (CAT) system can provide tests for examinees continuously, so items in the item bank face the risk of being leaked. The IRT-based detection procedure developed by Zhang and Li (2016) is further studied in this thesis, which is designed to identify compromised items via a series of hypothesis tests. The moving sample size m in the Zhang and Li procedure is very important because it can affect the lag and the power of the procedure in identifying compromised items. In this thesis, the author will explore the relationship between the moving sample size and the lag, and the relationship between the moving sample size and the power. The simulation results indicate that at the significance level of 0.05, moving sample size m has an exponential relationship with the lag, and has a quadratic relationship with the power. At the significance level of 0.01, moving sample size m has a logarithmic relationship with the lag, and has a cubic relationship with the power. The author attempts to find an appropriate value of moving sample size m to achieve a large value of the power and a small value of the lag. The simulation results show that at both significance levels 0.05 and 0.01, setting the moving sample size m to 200 can accomplish the mission, while setting moving sample size m to 10 will decrease the performance of the procedure in the case that the significance level is 0.05.","abstract_html":"A computerized adaptive testing (CAT) system can provide tests for examinees continuously, so items in the item bank face the risk of being leaked. The IRT-based detection procedure developed by Zhang and Li (2016) is further studied in this thesis, which is designed to identify compromised items via a series of hypothesis tests. The moving sample size m in the Zhang and Li procedure is very important because it can affect the lag and the power of the procedure in identifying compromised items. In this thesis, the author will explore the relationship between the moving sample size and the lag, and the relationship between the moving sample size and the power. The simulation results indicate that at the significance level of 0.05, moving sample size m has an exponential relationship with the lag, and has a quadratic relationship with the power. At the significance level of 0.01, moving sample size m has a logarithmic relationship with the lag, and has a cubic relationship with the power. The author attempts to find an appropriate value of moving sample size m to achieve a large value of the power and a small value of the lag. The simulation results show that at both significance levels 0.05 and 0.01, setting the moving sample size m to 200 can accomplish the mission, while setting moving sample size m to 10 will decrease the performance of the procedure in the case that the significance level is 0.05.","abstract_has_math":false,"creators":["Jie, Yongjing"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Educational Psychology","degree_department":null,"school":null,"contributors":["Zhang, Jinming","Chang, Hua-Hua","Anderson, Carolyn J."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-03-13T17:35:51Z","date_published":"2018-03-13T17:35:51Z","updated_at":"2026-07-22T22:24:37Z","subjects":["Item Response Theory (IRT)-based detection procedure","Moving sample size","Power","Lag"],"languages":["en"],"rights":["Copyright 2017 Yongjing Jie"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/99519","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Zhang, Jinming","Chang, Hua-Hua","Anderson, Carolyn J."]},{"key":"dc:creator","label":"Author","values":["Jie, Yongjing"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-03-13T17:35:51Z","2020-03-14T09:15:28Z","2017-12-11","2017-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Educational Psychology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Item Response Theory (IRT)-based detection procedure","Moving sample size","Power","Lag"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2017 Yongjing Jie"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/99519"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A computerized adaptive testing (CAT) system can provide tests for examinees continuously, so items in the item bank face the risk of being leaked. The IRT-based detection procedure developed by Zhang and Li (2016) is further studied in this thesis, which is designed to identify compromised items via a series of hypothesis tests. The moving sample size m in the Zhang and Li procedure is very important because it can affect the lag and the power of the procedure in identifying compromised items. In this thesis, the author will explore the relationship between the moving sample size and the lag, and the relationship between the moving sample size and the power. The simulation results indicate that at the significance level of 0.05, moving sample size m has an exponential relationship with the lag, and has a quadratic relationship with the power. At the significance level of 0.01, moving sample size m has a logarithmic relationship with the lag, and has a cubic relationship with the power. The author attempts to find an appropriate value of moving sample size m to achieve a large value of the power and a small value of the lag. The simulation results show that at both significance levels 0.05 and 0.01, setting the moving sample size m to 200 can accomplish the mission, while setting moving sample size m to 10 will decrease the performance of the procedure in the case that the significance level is 0.05.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01","The student, Yongjing Jie, accepted the attached license on 2017-12-07 at 16:23.","The student, Yongjing Jie, submitted this Thesis for approval on 2017-12-07 at 16:57.","This Thesis was approved for publication on 2017-12-11 at 10:42.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11910 on 2018-03-13 at 10:37:53","Made available in DSpace on 2018-03-13T17:35:51Z (GMT). No. of bitstreams: 2 JIE-THESIS-2017.pdf: 1257070 bytes, checksum: 7dde4ca37244371ce5e35770af953234 (MD5) LICENSE.txt: 4209 bytes, checksum: 83116ef711f94b19a65136e6ae6f3181 (MD5) Previous issue date: 2017-12-11","Embargo set by: Seth Robbins for item 105488 Lift date: 2020-03-13T17:36:05Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 105488 on 2020-03-14T09:15:28Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Explore the moving sample size used in a procedure for detecting compromised items based on item response theory"]}]}],"canonical_facts":{"dc:contributor":["Zhang, Jinming","Chang, Hua-Hua","Anderson, Carolyn J."],"dc:creator":["Jie, Yongjing"],"dc:date":["2018-03-13T17:35:51Z","2020-03-14T09:15:28Z","2017-12-11","2017-12"],"dc:description":["A computerized adaptive testing (CAT) system can provide tests for examinees continuously, so items in the item bank face the risk of being leaked. The IRT-based detection procedure developed by Zhang and Li (2016) is further studied in this thesis, which is designed to identify compromised items via a series of hypothesis tests. The moving sample size m in the Zhang and Li procedure is very important because it can affect the lag and the power of the procedure in identifying compromised items. In this thesis, the author will explore the relationship between the moving sample size and the lag, and the relationship between the moving sample size and the power. The simulation results indicate that at the significance level of 0.05, moving sample size m has an exponential relationship with the lag, and has a quadratic relationship with the power. At the significance level of 0.01, moving sample size m has a logarithmic relationship with the lag, and has a cubic relationship with the power. The author attempts to find an appropriate value of moving sample size m to achieve a large value of the power and a small value of the lag. The simulation results show that at both significance levels 0.05 and 0.01, setting the moving sample size m to 200 can accomplish the mission, while setting moving sample size m to 10 will decrease the performance of the procedure in the case that the significance level is 0.05.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2019-12-01","The student, Yongjing Jie, accepted the attached license on 2017-12-07 at 16:23.","The student, Yongjing Jie, submitted this Thesis for approval on 2017-12-07 at 16:57.","This Thesis was approved for publication on 2017-12-11 at 10:42.","DSpace SAF Submission Ingestion Package generated from Vireo submission #11910 on 2018-03-13 at 10:37:53","Made available in DSpace on 2018-03-13T17:35:51Z (GMT). No. of bitstreams: 2 JIE-THESIS-2017.pdf: 1257070 bytes, checksum: 7dde4ca37244371ce5e35770af953234 (MD5) LICENSE.txt: 4209 bytes, checksum: 83116ef711f94b19a65136e6ae6f3181 (MD5) Previous issue date: 2017-12-11","Embargo set by: Seth Robbins for item 105488 Lift date: 2020-03-13T17:36:05Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 105488 on 2020-03-14T09:15:28Z."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/99519"],"dc:language":["en"],"dc:rights":["Copyright 2017 Yongjing Jie"],"dc:subject":["Item Response Theory (IRT)-based detection procedure","Moving sample size","Power","Lag"],"dc:title":["Explore the moving sample size used in a procedure for detecting compromised items based on item response theory"],"dc:type":["text"],"thesis:degree_discipline":["Educational Psychology"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:37Z"}