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<div>Hello prevsci and cpsy students,</div>
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<div>If it fits in your schedule, please come to these presentations next week— lunch included! They are relevant to the kinds of models and analyses we run in our disciplines— the first because it looks at change in behavior over time, and the second because
it examines brief alcohol interventions.</div>
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<div>Thanks,</div>
<div>Leslie</div>
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<span style="font-weight:bold">From: </span><<a href="mailto:coe-staff-bounces@lists.uoregon.edu">coe-staff-bounces@lists.uoregon.edu</a>> on behalf of Denise E McKenney <<a href="mailto:mckenney@uoregon.edu">mckenney@uoregon.edu</a>><br>
<span style="font-weight:bold">Date: </span>Thursday, January 5, 2017 at 3:57 PM<br>
<span style="font-weight:bold">To: </span>"<a href="mailto:coe-staff@lists.uoregon.edu">coe-staff@lists.uoregon.edu</a>" <<a href="mailto:coe-staff@lists.uoregon.edu">coe-staff@lists.uoregon.edu</a>><br>
<span style="font-weight:bold">Subject: </span>coe-staff: Colloquiums 1/9 & 1/11 - Clinical Trials Methodology Tenure Track Faculty Candidates<br>
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<p class="MsoNormal">Please join us for two of four colloquium presentations: Wei Wu, 1/9 and Emily Tanner-Smith, 1/11 - candidates for the College of Education Clinical Trials Methodology tenure-track faculty position.<o:p></o:p></p>
<p class="MsoNormal" align="center" style="margin-bottom:12.0pt;text-align:center;line-height:22.0pt;background:white">
<span style="color:#212121"> </span><b><span style="font-size:16.0pt;color:black">Wei Wu, PhD</span></b><span style="color:black"><o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white;background-position:initial initial;background-repeat:initial initial">
<i><span style="font-size:14.0pt;color:#212121">Two Recent Advances of Longitudinal Mediation Analysis with Cross-Lagged Panel Models: Modeling Random Intercept and Random Effects</span></i><b><span style="font-size:14.0pt;color:#212121"> <o:p></o:p></span></b></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><span style="font-size:10.0pt;color:black"><o:p> </o:p></span></p>
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<b><span style="font-size:14.0pt;color:#212121">Colloquium and Q&A</span></b><span style="font-size:14.0pt;color:black"><o:p></o:p></span></p>
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<b><span style="font-size:14.0pt;color:#212121;background:white"> Monday, </span>
</b><b><span style="font-size:14.0pt;color:black;background:white">January</span></b><b><span style="font-size:14.0pt;color:#212121;background:white"> 9, 201</span></b><b><span style="font-size:14.0pt;color:black;background:white">7</span></b><b><span style="font-size:14.0pt;color:#212121;background:white"> – 11:00
AM-12:30 PM</span></b><span style="font-size:14.0pt;color:black"><o:p></o:p></span></p>
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<b><span style="font-size:14.0pt;color:#212121">HEDCO 230T</span></b><span style="font-size:14.0pt;color:black"><o:p></o:p></span></p>
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<b><span style="font-size:14.0pt;color:#212121;background:white">Early Lunch provided at 10:45 AM</span></b><span style="font-size:14.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><span style="font-family: 'Alegreya Sans'; color: black;">Cross-lagged panel models (CLPMs) are widely used to test mediation with longitudinal panel data. Traditional CLPMs assume that intercepts and effects/coefficients in the model are
constant/fixed across individuals. This assumption is likely wrong in practice (i.e., the intercepts and effects are varying/random across individuals). In this talk, I will explain the consequences when this assumption is violated, present ways to extend
the traditional CLPMs to account for random intercepts and effects, and evaluate the use of these extensions to detect direct and indirect effects in longitudinal mediation analysis using both simulated and empirical data.</span><span style="font-family: Calibri, sans-serif; color: black;"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family: Calibri, sans-serif; color: black;"> </span><b><span style="font-size: 11pt; font-family: Calibri, sans-serif;"><o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-family: 'Alegreya Sans'; color: black;">Wei Wu, PhD, is an Associate Professor in the Department of Psychology at the University of Kansas. Dr. Wu holds a doctorate in Quantitative Psychology from Arizona State University.
Her research focuses on analysis and design issues in longitudinal data analysis, missing data analysis, and structural equation modeling. She has published more than 30 journal articles and book chapters on these topics. Dr. Wu has collaborations with researchers
across different disciplines including education, psychology, and social work. She has been a principal investigator on a National Science Foundation grant on planned missing data designs and served as a data analyst and statistical consultant on National
Institutes of Health R01 and Patient-Centered Outcomes Research Institute grants. She is currently a consulting editor for Psychological Methods and a panel reviewer for Institute of Education Sciences.<o:p></o:p></span></p>
<p class="MsoNormal" style="background:white"><o:p> </o:p></p>
<p class="MsoNormal" align="center" style="margin-bottom:12.0pt;text-align:center;line-height:22.0pt;background:white">
<b><span style="font-size:16.0pt;color:black">Emily Tanner-Smith, PhD</span></b><o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><i><span style="font-size:16.0pt;color:#212121">Screening and Brief Interventions for Alcohol Use among Youth<o:p></o:p></span></i></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><b><span style="font-size:11.0pt;color:#212121"> </span></b><o:p></o:p></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><b><span style="font-size:14.0pt;color:#212121">Colloquium and Q&A</span></b><span style="font-size:14.0pt"><o:p></o:p></span></p>
<p class="MsoNormal" align="center" style="text-align:center;background:white"><b><span style="font-size:14.0pt;color:#212121">Wednesday, </span></b><b><span style="font-size:14.0pt;color:black">January</span></b><b><span style="font-size:14.0pt;color:#212121"> 11,
201</span></b><b><span style="font-size:14.0pt;color:black">7</span></b><b><span style="font-size:14.0pt;color:#212121"> – 11:15 AM-12:45 PM</span></b><o:p></o:p></p>
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<b><span style="font-size:14.0pt;color:#212121">HEDCO 230T</span></b><o:p></o:p></p>
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<b><span style="font-size:14.0pt;color:#212121">Lunch provided at 11:00 AM</span></b><o:p></o:p></p>
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<p class="MsoNormal">Heavy episodic drinking (“binge drinking”) peaks during late adolescence and early adulthood and is associated with numerous detrimental physical, psychological, and social consequences. Brief interventions, defined broadly as those providing
motivation for behavior change in a circumscribed time frame (typically one to five sessions), offer a potentially attractive approach for addressing heavy episodic drinking in school and community based health settings. In this presentation, Dr. Tanner-Smith
will discuss her recent research examining the effectiveness of brief alcohol interventions for adolescents and young adults. Although brief alcohol interventions may lead to modest reductions in substance use among youth, the findings suggest considerable
variability in effects across delivery settings, intervention components, and patient populations. These results highlight the need for more personalized, precision-medicine initiatives in the development and dissemination of community behavioral health interventions.
<o:p></o:p></p>
<p class="MsoNormal"><span style="color:#1F497D"><o:p> </o:p></span></p>
<p class="MsoNormal">Emily Tanner-Smith, PhD, is an Associate Research Professor in the Department of Human and Organizational Development, and Co-Director of the Meta-analysis Center at the Peabody Research Institute at Vanderbilt University. Dr. Tanner-Smith
is an applied research methodologist with expertise in experimental and quasi-experimental designs, systematic reviewing, and meta-analysis. Her research focuses on adolescent behavior and development, with specific emphasis on the prevention, treatment, and
social epidemiology of substance use. Her recent research has been funded by the Institute of Education Sciences, National Institutes of Health, and the National Institute of Justice.<o:p></o:p></p>
<p class="MsoNormal"> <o:p></o:p></p>
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