{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/105756"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/105756","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Model sensitivity to prior selection in replication studies","abstract":"When doing a Bayesian Analysis for a replication study, selecting priors is a widely discussed issue. On one hand, we could argue that an informative prior specified by previous research is preferable because we have some knowledge and expectations regarding the phenomena. However, when the goal is to replicate findings from previous research, we do not want to use prior findings to influence results of the replication study; that is, for a replication study, we should use a non-informative prior, which would maximize the utility of current data. By analyzing a replication research for a widely cited psycholinguistics paper (Fine, Jaeger, Qian, & Farmer, 2013), this thesis aims to provide insight as to how a replication researcher might go about selecting priors for analyzing replication studies within a Bayesian framework. By using sensitivity analyses, posterior predictive checking, and information criteria, researchers can start with a more reasonable prior setting that eventually leads to more valid confirmation or non-confirmation of previous research.","abstract_html":"When doing a Bayesian Analysis for a replication study, selecting priors is a widely discussed issue. On one hand, we could argue that an informative prior specified by previous research is preferable because we have some knowledge and expectations regarding the phenomena. However, when the goal is to replicate findings from previous research, we do not want to use prior findings to influence results of the replication study; that is, for a replication study, we should use a non-informative prior, which would maximize the utility of current data. By analyzing a replication research for a widely cited psycholinguistics paper (Fine, Jaeger, Qian, & Farmer, 2013), this thesis aims to provide insight as to how a replication researcher might go about selecting priors for analyzing replication studies within a Bayesian framework. By using sensitivity analyses, posterior predictive checking, and information criteria, researchers can start with a more reasonable prior setting that eventually leads to more valid confirmation or non-confirmation of previous research.","abstract_has_math":false,"creators":["Liu, Ella"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Educational Psychology","degree_department":null,"school":null,"contributors":["Anderson, Carolyn J"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-11-26T20:49:14Z","date_published":"2019-11-26T20:49:14Z","updated_at":"2026-07-22T22:24:45Z","subjects":["Replication Study, Bayesian Analysis, Prior Selection"],"languages":["en"],"rights":["Copyright 2019 Qiawen Liu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/105756","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Anderson, Carolyn J"]},{"key":"dc:creator","label":"Author","values":["Liu, Ella"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-11-26T20:49:14Z","2021-11-27T10:15:26Z","2019-06-18","2019-08"]},{"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":["Replication Study, Bayesian Analysis, Prior Selection"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Qiawen Liu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/105756"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["When doing a Bayesian Analysis for a replication study, selecting priors is a widely discussed issue. 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By using sensitivity analyses, posterior predictive checking, and information criteria, researchers can start with a more reasonable prior setting that eventually leads to more valid confirmation or non-confirmation of previous research.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-08-01","The student, Ella Liu, accepted the attached license on 2019-06-14 at 11:44.","The student, Ella Liu, submitted this Thesis for approval on 2019-06-14 at 11:54.","This Thesis was approved for publication on 2019-06-18 at 09:13.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14041 on 2019-11-26 at 13:03:30","Made available in DSpace on 2019-11-26T20:49:14Z (GMT). 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