JuliAnna Smith, Ph.D.; Aline Sayer, Ph.D. and Jade Logan, Ph.D.

JuliAnna Smith, Aline Sayer and Jade Logan are all researchers and faculty members at the University of Massachusetts-Amherst.

One of the most fascinating aspects of studying families is attempting to understand the impact of the strong interdependence between family members on well-being, relationship quality and other outcomes of interest. Unfortunately, many commonly used statistical methods such as analysis of variance (ANOVA) and ordinary least squares (OLS) regression assume that the outcomes being examined are statistically independent of each other. As a result, hypothesis tests based on these approaches will be inaccurate when examining outcomes for individuals who are nested within families. This workshop will provide several statistical models useful for the analysis of dyadic data including the longitudinal multivariate outcomes model for distinguishable dyads. The presenters will walk the participants through the steps required to properly structure data and then to fit these models to data using the HLM6 software package.

Introduction of Speaker: Sylvia Niehuis