{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/80453"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/80453","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Construct Validation of an Integrated -Approach EAP Placement Test Using Multi -Group Structural Equation Modeling","abstract":"The research questions were tested using multi-trait multi-method (MTMM) procedures and multi-group structural equation modeling (MSEM) as the central statistical tool. A review of the statistical methodology of the MTMM procedures as a methodological contribution in literature preceded an investigation of the construct validity of the EPT. This powerful modeling technique enabled me to investigate comprehensively how listening and reading comprehension as proposed factors influenced or interacted with writing performance. Further, a fundamental concern in testing research, ensuring construct comparability when testing for between-group differences, was successfully carried out within the multi-group structural modeling framework. The findings were that while the effect of understanding the input is identical on the nonpass and pass groups, the two groups consistently differ from each other in three latent factors. Based on the findings of the EPT construct validation study, several recommendations from different perspectives of testing-related systems (test, rating, and placement system-related) are suggested for the future operation of the EPT program. Finally, methodological implications are presented.","abstract_html":"The research questions were tested using multi-trait multi-method (MTMM) procedures and multi-group structural equation modeling (MSEM) as the central statistical tool. A review of the statistical methodology of the MTMM procedures as a methodological contribution in literature preceded an investigation of the construct validity of the EPT. This powerful modeling technique enabled me to investigate comprehensively how listening and reading comprehension as proposed factors influenced or interacted with writing performance. Further, a fundamental concern in testing research, ensuring construct comparability when testing for between-group differences, was successfully carried out within the multi-group structural modeling framework. The findings were that while the effect of understanding the input is identical on the nonpass and pass groups, the two groups consistently differ from each other in three latent factors. Based on the findings of the EPT construct validation study, several recommendations from different perspectives of testing-related systems (test, rating, and placement system-related) are suggested for the future operation of the EPT program. Finally, methodological implications are presented.","abstract_has_math":false,"creators":["Pyo, Kyong Hyon"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Education","degree_department":null,"school":null,"contributors":["Terry Ackerman"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T19:57:14Z","date_published":"2015-09-25T19:57:14Z","updated_at":"2026-07-22T22:26:14Z","subjects":["Education, Language and Literature"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI9996674"],"render_values":[{"text":"(MiAaPQ)AAI9996674","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/80453","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Terry Ackerman"]},{"key":"dc:creator","label":"Author","values":["Pyo, Kyong Hyon"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T19:57:14Z","10000-01-01","2001"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Education"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Education, Language and Literature"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/80453","(MiAaPQ)AAI9996674"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The research questions were tested using multi-trait multi-method (MTMM) procedures and multi-group structural equation modeling (MSEM) as the central statistical tool. 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