{"685206":{"#nid":"685206","#data":{"type":"event","title":"PhD Proposal by Na Liu","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EName: Na Liu\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ESchool of Psychology \u2013 Ph.D. Dissertation Proposal Meeting\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E\u0026nbsp;Monday, September 29th\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u003C\/strong\u003E\u0026nbsp;3:30 P.M. \u2013 5:00 P.M.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETeams Meeting link:\u003C\/strong\u003E\u0026nbsp;click\u0026nbsp;\u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_NWNhOWMwNWEtNzNmZi00ZmYyLWJkZGYtYTkzZDUzOGI1NmMz%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%228bfd635c-ca3f-403d-a3ad-c63d3e6a2661%22%7d\u0022\u003Ehere\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDissertation Chair\/Advisor:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EJames Roberts, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDissertation Committee Members:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EJames Roberts, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003EAudrey Leroux, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003EDingjing\u0026nbsp;Shi, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003EMark Himmelstein, Ph.D. (Georgia Institute of Technology)\u003C\/p\u003E\u003Cp\u003EHongli Li, Ph.D. (Georgia State University)\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003E\u003Cem\u003E\u003Cstrong\u003EEnhancing Precision in the Generalized Graded Unfolding Model (GGUM) Using Successive Interval Judgements Indicative of Item Location\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E\u003Cbr\u003EThis study introduces a \u003Cstrong\u003EHybrid Generalized Graded Unfolding Model (HGGUM)\u003C\/strong\u003E\u0026nbsp;to enhance precision in estimating item locations on a latent continuum for non-cognitive psychological constructs (e.g., attitudes, emotions, personality traits). Traditional GGUM-based attitude measures often require very large sample sizes (previously \u003Cstrong\u003EN \u0026gt; 750\u003C\/strong\u003E\u0026nbsp;recommended) to achieve stable parameter estimates. The proposed HGGUM integrates the \u003Cstrong\u003EMethod of Successive Intervals (MSI)\u003C\/strong\u003E\u0026nbsp;with the GGUM, leveraging additional favorability rating data to reduce sample size requirements without sacrificing estimation precision. To evaluate this hybrid model, simulation studies are conducted using a \u003Cstrong\u003EMarkov Chain Monte Carlo (MCMC)\u003C\/strong\u003E\u0026nbsp;estimation procedure to examine parameter recovery and estimate accuracy under varying sample sizes. In addition, the HGGUM is applied to real survey data on \u003Cstrong\u003Eattitudes toward abortion\u003C\/strong\u003E\u0026nbsp;collected from undergraduate students at Georgia Tech, demonstrating the model\u2019s practical utility. \u003Cstrong\u003EAnticipated outcomes\u003C\/strong\u003E\u0026nbsp;include more \u003Cstrong\u003Eprecise item location estimates\u003C\/strong\u003E\u0026nbsp;and the ability to apply GGUM-based models in studies with \u003Cstrong\u003Esmaller sample sizes\u003C\/strong\u003E, thereby broadening the model\u2019s applicability in psychological research.\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003EEnhancing Precision in the Generalized Graded Unfolding Model (GGUM) Using Successive Interval Judgements Indicative of Item Location\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Enhancing Precision in the Generalized Graded Unfolding Model (GGUM) Using Successive Interval Judgements Indicative of Item Location"}],"uid":"27707","created_gmt":"2025-09-23 18:13:07","changed_gmt":"2025-09-23 18:13:48","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-09-29T15:30:44-04:00","event_time_end":"2025-09-29T17:00:00-04:00","event_time_end_last":"2025-09-29T17:00:00-04:00","gmt_time_start":"2025-09-29 19:30:44","gmt_time_end":"2025-09-29 21:00:00","gmt_time_end_last":"2025-09-29 21:00:00","rrule":null,"timezone":"America\/New_York"},"location":"TEAMS","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":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}