Behavioral Health

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2023 Agenda

Friday, September 29, 2023 at 1:15 to 2:00                                                                                                                  Track: Behavioral Health

Managing, Measuring, Motivating Millennials and Personnel To Promote Accountability and Personal Satisfaction in Clinical Research Management

Clinical Research Personnel Management involves meeting objectives and milestones while maintaining a productive and motivated workforce. Ms. Wintering will discuss a leadership approach that promotes personal performance objectives that are aligned with the project objectives. The author has learned much from working with Millennials and Gen Z. Managing a multigenerational workforce requires adaptation and flexibility which she will share with the attendees.

There is an implicit expectation that work and interaction in the workplace will be fulfilling. The importance of learning and development in the context of enhancing skills and professional development is key to retain motivated staff. Topics to be presented will be developing cross-training, promoting self-regulation and personal accountability and strategies toward adapting the work culture that can meet and measure performance while supporting personal satisfaction with less demand for managers. 109
Presenter: Nancy Wintering, MSW, LCSW, CCRP, Assistant Director of Research, Thomas Jefferson University

Friday, September 29, 2023 at 2:05 to 2:50                                                                                                       Track: Behavioral Health

Statistical Model Considerations in Behavioral Health Research

Mr. Gepty will address issues to consider when formulating study designs and selecting appropriate statistical models. Topics to be discussed include identifying analytical approaches and models to match your hypotheses, considerations of sample size, and choosing the right statistical software. This talk will highlight modern statistical methods to answer inferential questions and will include intensive longitudinal models, multilevel models, and handling missing data. 111
Presenter: Andrew Gepty, BA, MA, Doctoral Candidate, George Washington University