News and Events

Upcoming Events

Analyzing Developmental Trajectories
Presenters:

Dr. Daniel Nagin, Carnegie-Mellon University

Event Date(s):
Mon 2nd, June 2014 to Wed 4th, June 2014 | 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

Analyzing Intensive Longitudinal Data
Presenters:

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

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

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

Models for Categorical Outcomes Using Stata: Specification, Estimation, and Interpretation
Presenters:

J. Scott Long, Indiana University

Event Date(s):
Mon 16th, June 2014 to Fri 20th, June 2014 | 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.

Hierarchical Linear Models I: Introduction
Presenters:

Dr. Aline Sayer, University of Massachusetts Amherst

Event Date(s):
Mon 9th, June 2014 to Fri 13th, June 2014 | 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.