This practical workshop introduces advanced applications of Structural Equation Modeling (SEM) in digital mental health and internet intervention research. Participants will explore how to analyze complex longitudinal and experimental data from online interventions and mobile health applications. The workshop progresses from foundational concepts to sophisticated modeling approaches, covering key longitudinal methods such as latent growth curve modeling, autoregressive cross-lagged models, and mediation analysis within intervention contexts. Particular emphasis will be placed on modeling digital intervention effectiveness. Participants will learn to handle unique challenges in internet intervention research, like high attrition rates. This workshop is tailored for researchers, clinicians, and graduate students with foundational SEM knowledge who wish to apply these methods to evaluate digital mental health interventions and understand mechanisms of change in technology-mediated therapeutic processes. Participants will gain practical experience in model development, testing, and interpretation specifically within the context of internet-based intervention research.
Dr. Inga Truskauskaitė is a developmental psychologist and associate professor at Vilnius University’s Psychology Institute. With extensive expertise in statistical data analysis, she specializes in longitudinal and experimental research methodologies. Her research focuses on adolescent and youth development, positive mental health, identity, stress, and intervention program design and evaluation. Dr. I. Truskauskaitė has significant experience publishing research in international peer-reviewed journals and teaching advanced statistical analysis to undergraduate, graduate, and doctoral psychology students.