Past Events

This virtual workshop will cover an introduction to conducting dyadic data analysis using a structural equation modeling framework in Mplus. The workshop will introduce the conceptual and statistical background for dyadic data analysis. Common applications of dyadic modeling, including the Actor-Partner Interdependence Model (APIM), decomposition of interdependence effects in APIM, and power analysis for APIM will be introduced. Longitudinal applications will also be covered with a light touch. Example datasets and associated Mplus syntax will be provided.

This  virtual workshop will introduce participants to the field of biomarkers of acute and chronic stress. The workshop will begin with an overview of the stress concept and the incorporation of allostasis theory and allostatic load to the field of stress research. We will then introduce the main theme of biomarkers for measuring stress reactivity. Topics include

• Why you should include biomarker measures in your research
• What you can measure
• Where different endocrine, immune, epigenetic, and physiological markers can be detected and measured (including types of fluid, cell, or tissue samples where relevant)
• How to measure your markers of interest

Tay Gavin Erickson Lecture Series -  Health communication has shifted from helping people find information to supporting real-time, personalized, and increasingly intelligent interactions. 

Tay Gavin Erickson Lecture Series - The locus coeruleus (LC), the main source of norepinephrine (NE) in the central nervous system, is one of the first brain regions to accumulate pathology in the earliest stages of Alzheimer’s disease and undergoes catastrophic degeneration as disease progresses.

Tay Gavin Erickson Lecture Series - Many African American storytellers have work that contains a multitude of reference points, which scholars have long examined through close reading and historical interpretation. Yet, new questions emerge when we also examine the numerical patterns, circulation histories, and cultural data that shape how Black writers are read, taught, and remembered.

2026 Dyads Event Posting

This virtual workshop will cover an introduction to conducting dyadic data analysis using a structural equation modeling framework in Mplus. The workshop will introduce the conceptual and statistical background for dyadic data analysis. Common applications of dyadic modeling, including the Actor-Partner Interdependence Model (APIM), decomposition of interdependence effects in APIM, and power analysis for APIM will be introduced. Longitudinal applications will also be covered with a light touch. Example datasets and associated Mplus syntax will be provided.

This  virtual workshop will introduce participants to the field of biomarkers of acute and chronic stress. The workshop will begin with an overview of the stress concept and the incorporation of allostasis theory and allostatic load to the field of stress research. We will then introduce the main theme of biomarkers for measuring stress reactivity.