Events

Presenters:

Dr. Daniel Nagin, Carnegie-Mellon University

Event Date(s):
June 2 - June 4, 2014 | 9:00 am- 5:00 pm
| 9:00am to 5:00pm
Location:
UMass, Amherst
Description:

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

Presenters:

Dr. Jean-Philippe Laurenceau, University of Delaware
Dr. Niall Bolger, Columbia University

Event Date(s):
June 24 - June 27, 2014 | 9:00 am- 5:00 pm
| 9:00am to 5:00pm
Location:
UMass, Amherst
Description:

Analyzing Intensive Longitudinal Data: A Guide to Diary, Experience Sampling, and Ecological Momentary Assessment Methods

Presenters:

J. Scott Long, Indiana University

Event Date(s):
June 16 - June 20, 2014 | 9:00 am- 5:00 pm
| 9:00am to 5:00pm
Location:
UMass, Amherst
Description:

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.

Presenters:

Dr. Aline Sayer, University of Massachusetts Amherst

Event Date(s):
June 9 - June 13, 2014 | 9:00 am- 5:00 pm
| 9:00am to 5:00pm
Location:
UMass, Amherst
Description:

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.