{"620752":{"#nid":"620752","#data":{"type":"event","title":"MS Proposal by Heather A. Handy","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName:\u003C\/strong\u003E\u0026nbsp;\u003Cstrong\u003EHeather A. Handy\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMaster\u0026rsquo;s Thesis Proposal Meeting\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Wednesday, May 1, 2019\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;12:00pm\u003Cbr \/\u003E\r\n\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003EJ.S. Coon Building, room 148\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nSusan Embretson, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cstrong\u003EThesis Committee Members:\u003C\/strong\u003E\u003Cbr \/\u003E\r\nSusan Embretson, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\nRick Thomas, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\nMichael Hunter, Ph.D. (Georgia Tech)\u003Cbr \/\u003E\r\n\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003E\u003Cstrong\u003EA Study of a Fit Index for Explanatory Item Response Theory Models\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EApplying explanatory item response theory (IRT) models, such as the linear logistic test model (LLTM; Fischer, 1973) is advantageous when designing and selecting items. Likelihood ratio chi square tests for nested models are typically used to determine model significance.\u0026nbsp; Multiple correlations of item difficulties estimated with the explanatory predictors are often used to provide further information about model quality.\u0026nbsp; However, this approach is not statistically justifiable, since the effective sample size becomes the number of items. A simulation study was conducted to compare an explanatory item response theory fit statistic, \u0026Delta; (Embretson, 1997; 2016), to traditionally used fit indices (nested model likelihoods and limited information multiple correlations) for assessing model quality.\u0026nbsp; Simulation conditions include varying test length, item difficulty and the number of predictors.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A Study of a Fit Index for Explanatory Item Response Theory Models"}],"uid":"27707","created_gmt":"2019-04-22 18:57:59","changed_gmt":"2019-04-22 18:57:59","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-05-01T13:00:00-04:00","event_time_end":"2019-05-01T15:00:00-04:00","event_time_end_last":"2019-05-01T15:00:00-04:00","gmt_time_start":"2019-05-01 17:00:00","gmt_time_end":"2019-05-01 19:00:00","gmt_time_end_last":"2019-05-01 19:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"166866","name":"MS Proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}