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Evaluation ViewAttendees 2

Research Methods and Statistics
Symposia

Symposium 44 - Novel Methods in CBT Research and Practice

Friday, November 15, 2024
12:30 PM – 2:00 PM EST
Location: Congress A, Fourth Floor, Loews Hotel
CE: 1.5

Keywords: Research Methods, Statistics, Psychometrics
Recommended Readings: Brown, T. A., & Field, A. P. (2017). Best practice guidelines for modern statistical methods in applied clinical research: Introduction to the Special Section. Behaviour Research and Therapy, 98, 1-3.,   Appelbaum, M., Cooper, H., Kline, R. B., Mayo-Wilson, E., Nezu, A. M., & Rao, S. M. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 73, 3–25.,   Tackett, J. L., Lilienfeld, S. O., Patrick, C. J., Johnson, S. L., Krueger, R. F., Miller, J. D., ... & Shrout, P. E. (2017). It’s time to broaden the replicability conversation: Thoughts for and from clinical psychological science. Perspectives on Psychological Science, 12, 742-756.,   ,  

Many areas of society are experiencing the impact of advancing technological change and an increase in data-dependence. CBT is also being impacted, because these changes create a need and opportunity for innovative clinical research methods that better match the complexities of mental health research and practice. In line with that need and opportunity, research in clinical psychology has increasingly focused on creative approaches to understanding psychopathology and evaluating treatment outcome. These methods seek to align statistical and methodological tools with the empirical reality of psychology, recognizing that traditional methods may obscure the unique experiences and well-being of individuals. To address these needs, innovative data-driven and individualized approaches provide an opportunity for research and treatment to better match the needs of individuals in their communities. Such approaches can offer novel strategies for identifying those in need of care and help to better understand symptom structures and dependencies, identify the levers for change, evaluate treatment outcomes, and maximize the utility of data. In this symposium, we will present cutting-edge methodological developments for identifying, understanding, and evaluating treatments at the individual and group levels. First, Robyn Kilshaw will discuss current challenges in identifying those in the general community at risk for mental health conditions. Through her presentation, she will cover the newest updates in digital phenotyping and the use of smartphone data to identify underserved individuals in need of care. Following this, Gemma Wallace will highlight recent developments in network analysis as applied to women who have experienced interpersonal violence. Alexander Crenshaw will subsequently concentrate on how to better define group- and individual-level clinical change so that results are maximally comparable across studies. This work can facilitate incremental science that builds upon a single common metric. Antonio-Morgan Lopez will then address how to better define clinically significant change within individual studies by using moderated nonlinear factor analysis and measurement error-corrected multilevel models. Finally, Alessandro De Nadai will conclude the symposium by discussing strategies to increase effect sizes and reduce sample sizes for CBT research by addressing data pollution. Data pollution encompasses frequent but underrecognized errors in data, and potential resolutions are especially relevant when samples do not fully incorporate participants from demographically minoritized groups. Lastly, our discussant Brian Baucom will discuss the collective implications of all of the presentations by drawing on his expertise in quantitative methodologies for clinical science. Together, these presentations showcase state-of-the art methodology that offers novel insights into CBT. They are particularly relevant for improving research and clinical practice with underrepresented patient populations, who may be overlooked by conventional approaches that are less informative and precise.

Learning Objectives:

At the end of this session, the learner will be able to:
  1. Identify new developments in methodology and their application to CBT research and practice
  2. Apply new methodology that can better include the perspectives of underserved populations
  3. Recognize common problems in contemporary CBT data analysis and learn about several ways to address them
  4. Discover new ways that research can inform clinical practice and vice versa
  5. Identify how new trends in methodology are likely to impact CBT in the future

Presentations:

  • 12:30 PM – 2:00 PM EST
    (SYM 44) Data Pollution Cleanup: Doubling Effect Sizes While Halving Sample Size Requirements

    Speaker: Alessandro S. De Nadai, Ph.D. (he/him/his) – McLean Hospital/Harvard Medical School

    Co-author: Ryan Zamora, M.S. (he/him/his) – McLean Hospital/Harvard Medical School

    Co-author: Alyse Finch, M.A. (she/her/hers) – McLean Hospital/Harvard Medical School

  • 12:30 PM – 2:00 PM EST
    (SYM 44) Variability in Operationalizing the Standardized Mean Difference and Reliable Change in Clinical Trials

    Speaker: Alexander O. Crenshaw, Ph.D. (he/him/his) – Kennesaw State University

    Co-author: Ameesha Narine, BS – Kennesaw State University

    Co-author: Mohamed Hashi, MA – Kennesaw State University

    Co-author: Kianan Carr – Kennesaw State University

    Co-author: Tharun Derangula, B.Tech – Kennesaw State University

    Co-author: Yeonkuk Woo, BS – Kennesaw State University

  • 12:30 PM – 2:00 PM EST
    (SYM 44) Using Passive Sensor Data to Enhance Mental Health Risk Assessment in Community-dwelling Adults

    Speaker: Robyn E. Kilshaw, M.S. (she/her/hers) – University of Utah

    Co-author: Emma Butner, BS (she/her/hers) – University of Utah

    Co-author: Abigail Boggins, BA (she/her/hers) – University of Utah

    Co-author: Olivia Everett, BA (she/her/hers) – University of Utah

    Co-author: Feea Leifker, M.P.H., Ph.D. (she/her/hers) – University of Utah

    Co-author: Brian Baucom, Ph.D. (he/him/his) – University of Utah

  • 12:30 PM – 2:00 PM EST
    (SYM 44) Clinical Takeaways Differ Across Nomothetic to Idiographic Models: Comparing Networks of PTSD Symptoms, Emotion Dysregulation, and Alcohol Use in Women Experiencing Interpersonal Violence

    Speaker: Gemma T. Wallace, Ph.D. (she/her/hers) – Alpert Medical School of Brown University

    Co-author: Gemma T. Wallace, Ph.D. (she/her/hers) – Alpert Medical School of Brown University

    Co-author: Leslie Brick, Ph.D. – Alpert Medical School of Brown University

    Co-author: Alexa M. Raudales, M.A. – University of Rhode Island

    Co-author: Nicole Weiss, Ph.D. – University of Rhode Island

  • 12:30 PM – 2:00 PM EST
    (SYM 44) Beyond Jacobson & Truax: Modern Methods for Estimating Clinically Significant Change

    Speaker: Antonio A. Morgan-Lopez, Ph.D. (he/him/his) – RTI International

    Co-author: Antonio A. Morgan-Lopez, Ph.D. (he/him/his) – RTI International

    Co-author: Lissette Saavedra, PhD – RTI International