Throughout the year, CRF holds intensive training workshops and conferences in advanced statistical and cutting-edge methodological techniques relevant to family researchers. To receive announcements about our methodology workshops and trainings please join our mailing list. Current offerings follow:
STEPHEN RAUDENBUSH, Ph.D., Department of Sociology, Chair Committee on Education, University of Chicago
YONGYUN SHIN, Ph.D, Department of Biostatistics, Virginia Commonwealth University
Multilevel data are pervasive in research in education, social science, and public health. The data arise from randomized trials in school, community, and hospital settings, longitudinal studies of student learning, and large-scale surveys of individuals within social contexts. The problem of missing data is equally pervasive.
Dr. Ryan Acton, University of Massachusetts Amherst
Dr. Andrew Papachristos, University of Massachusetts Amherst
How do diseases, violence, and fashion trends spread through a population? What is the connection between global trade patterns and modern art? Does marriage affect banking relationships? How do modern technologies such as Facebook affect our intimate relationships? How cohesive are terrorist cells, and how successful are the government’s attempt at dismantling them? How does peer pressure influence obesity, smoking, and other behaviors? The answer to all these questions is based on an understanding of social networks and how they are structured.
Dr. Daniel Nagin, Carnegie-Mellon University
Dr. Bobby Jones, University of Pittsburgh Medical Center Health System
A developmental trajectory describes the course of a behavior over age or time. This three-day workshop aims to provide participants with the training to apply a group-based method for analyzing developmental trajectories. This methodology has four significant capabilities:
Dr. Aline Sayer, University of Massachusetts Amherst
Dr. Mark Manning, Wayne State University
The hierarchical linear model (HLM) provides a conceptual framework and a flexible set of analytic tools to study a variety of social, political, and developmental processes. One set of applications focuses on data in which persons are clustered within social contexts, such as couples, families, schools, neighborhoods, or organizations.
Dr. Jean-Philippe Laurenceau, University of Delaware
Dr. Niall Bolger, Columbia University
In recent decades, researchers have become increasingly interested in understanding people’s thoughts, emotions, and behaviors in their natural contexts. The commonality in methods for doing so—experience sampling, daily diary, and ecological momentary assessment methods—is that they all involve intensive longitudinal assessments. These intensive longitudinal methods allow researchers to examine processes in daily life in a way that is not possible using traditional methods. Researchers can obtain repeated observations over the course of hours, days, and weeks.
