Within the extensive and variegated research on welfare states and gender, the diversity among women is not commonly highlighted. In this lecture, Dr. Mandel will draw from the literature on welfare state policies, gender, and class in order to stress the importance of class distinction for understanding how welfare state policies affect the life chances of women.
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Hadas Mandel, Ph.D., Senior Lecturer in the Department of Sociology and Anthropology at Tel Aviv University
Dr. Daniel Nagin, Carnegie-Mellon University
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:
(1) the capability to identify rather than assume distinctive groups of trajectories
(2) the capability to estimate the proportion of the population following each such trajectory group
Dr. Jean-Philippe Laurenceau, University of Delaware
Dr. Niall Bolger, Columbia University
Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods
J. Scott Long, Indiana University
This workshop deals with the most important regression models for binary, ordinal, nominal and count outcomes. While advances in software make it simple to estimate these models, the effective interpretation of these nonlinear models is a vexingly difficult art that requires time, practice, and a firm grounding in the goals of your analysis and the characteristics of your model. The workshop begins by discussing the general objectives for interpreting results from any regression model and considers why these objectives are more difficult in nonlinear models.
Dr. Aline Sayer, University of Massachusetts Amherst
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.