{"648486":{"#nid":"648486","#data":{"type":"event","title":"PhD Proposal by Jordan Sparks","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: Jordan Sparks\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDissertation Proposal Meeting \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDate: Tuesday, July 20th, 2021\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETime: 11:00 AM ET\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELocation:\u0026nbsp;\u003Ca href=\u0022https:\/\/bluejeans.com\/985626326\/1463\u0022\u003Ehttps:\/\/bluejeans.com\/985626326\/1463\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E James Roberts, Ph.D. ( Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDissertation Committee Members:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJames Roberts, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESusan Embretson, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDan Spieler, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003ERick Thomas, Ph.D. (Georgia Tech)\u003C\/p\u003E\r\n\r\n\u003Cp\u003EJohn Donoghue, Ph.D. (ETS)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETitle: A Conjoint Unfolding IRT Model Framework for the Analysis of Preference and Response Time Data\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EThe Generalized Graded Unfolding Model (GGUM) is an unfolding item response theory model that produces single-peaked, nonmonotonic item characteristic curves consistent with a proximity-based response process. The model can be applied to binary or graded item responses, or a mixture of the two. This paper proposes a modification to the GGUM estimation procedure, referred to as the Generalized Graded Unfolding Model with Response Times (GGUM-RT), which includes response time as collateral information in estimating model parameters. The inclusion of response time data illustrates how (a proxy for) cognitive processing may relate to the latitude of acceptance construct from social judgment theory. It is also hypothesized to improve the precision of model parameter estimates obtained from the standard GGUM.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"A Conjoint Unfolding IRT Model Framework for the Analysis of Preference and Response Time Data "}],"uid":"27707","created_gmt":"2021-06-30 19:57:48","changed_gmt":"2021-06-30 19:57:48","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-07-20T12:00:00-04:00","event_time_end":"2021-07-20T13:00:00-04:00","event_time_end_last":"2021-07-20T13:00:00-04:00","gmt_time_start":"2021-07-20 16:00:00","gmt_time_end":"2021-07-20 17:00:00","gmt_time_end_last":"2021-07-20 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd 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":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}