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Workshops on process tracing, multilevelmodels, & meta-analysis


Subject: Workshops on process tracing, multilevelmodels, & meta-analysis

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Workshops starting soon!

We're almost ready to begin the 2022 ICPSR Summer Program! This year, we're so happy to reconnect with our partners at other universities who will offer a handful of workshops to make travel easier for in-person attendees outside the Great Lakes area.

See our schedule for 2022 Short Workshops for the full list of courses.
Process Tracing in Qualitative and Mixed Methods Research
June 6-10
Instructor: Derek Beach, Aarhus University

Process tracing is a research method designed to learn how things work in real-world cases. Increasingly used across the social sciences and in applied policy evaluation, process tracing involves unpacking causal processes as they play out within cases and tracing them empirically, enabling within-case causal inferences about the processes that link causes and outcomes together. The course will combine pre-class readings with live sessions aimed at understanding the core elements of Process Tracing as a distinct case study method. Participants will be encouraged to use their own research to explore how Process Tracing methods can improve their own design.
Applied Multilevel Models for Longitudinal and Clustered Data
June 13-17
Instructor: Ryan Walters, Creighton University
In-person location: University of Colorado, Boulder

This workshop will serve as an applied introduction to multilevel models, beginning with longitudinal data and continuing to clustered data. Multilevel models for (conditionally) normal and non-normal outcomes will be presented. This workshop will focus heavily on appropriate interpretation of all fixed and random effects to ensure attendees appropriately estimate these models and report results. Numerous software examples in Stata, SPSS, and SAS will be provided to allow attendees to begin using multilevel models in their own research. This workshop will include many opportunities for hands-on practice using instructor-provided in-class activities; attendees are strongly encouraged to bring their own data as well.
Usage and Application of Meta-Analysis Techniques
June 13-17
Instructor: Mariola Moeyaert, State University of New York-Albany
In-person location: University of Massachusetts-Amherst

This workshop provides hands-on exposure to the process involved in conducting a meta-analysis from the planning stage, through the selection of appropriate statistical techniques, through the issues involved in analyzing data, to the interpretation of results. During the workshop, participants will learn how to calculate various kinds of effect sizes and to use them to conduct and make appropriate inferences from meta-analyses. Examples and case studies from the social sciences will be integrated into the discussions and lectures.
Full Short Workshop Schedule
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