[ICPSR] Our first courses are just 42 days away!

[Linda Detterman]

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*The 2020 ICPSR Summer Program starts May 13*

The feeling we get when the first group of courses start is hard to
describe. Equal parts excited, nervous, hopeful. A lot like the first day
of kindergarten, when we stop and think about it. So we have our favorite
outfits picked out and a brand new pencil box ready for the start of our
2020 schedule, led by these four courses!

Quantitative Methods to Advance Diversity, Equity, and Inclusion
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=29351ceb59&e=17afda8ecf>
(May 13-15)
*Instructor: Matthew Diemer, University of Michigan*

This three-day workshop centers latent variable modeling as a strategy to
address and advance diversity, equity, and inclusion (DEI). This workshop
actively interweaves social identities (e.g., race/ethnicity, gender, and
social class) and equity with quantitative concepts, instead of distancing
methods from the lived experiences of students and larger societal issues.
A second emphasis in this workshop is learning to "speak the language" of
quantitative methods, because methodological expertise is one way to
communicate and advance diversity, equity, and inclusion in spaces where
facility with highly technical quantitative concepts and techniques is
privileged.

Usage and Application of Meta-Analysis Techniques
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=173fea304a&e=17afda8ecf>
(May 13-15)
*Instructor: Mariola Christine Moeyaert, State University of New York at
Albany*

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.


I
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=7be1766e92&e=17afda8ecf>ntroduction
to R
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=2baf19043b&e=17afda8ecf>
(May 13-15)
*Instructor: Ryan Kennedy, University of Houston*

Most students learn to use R piecemeal, by performing tasks similar to what
they have already learned in another program like Stata or SPSS. The result
is often frustration on the part of both students and professors. This
course takes a different approach. Utilizing the "tidyverse" tools, this
course shows how writing code in R can be both easy and intuitive. We will
cover graphics, data management and modeling, automated updating of tables,
replication using markdown, functional programming, and, time permitting,
application design. This course is not about repeating in R what students
have already learned elsewhere, but to instead become R programmers capable
of approaching any new challenge.

Multilevel Analysis
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=cf6cd48e14&e=17afda8ecf>
(May 13-15)
*Instructor: Ling Zhu, University of Houston*

Multilevel analysis is a widely used approach to deal with nested data,
which allow researchers to consider both social contexts and micro-level
characteristics in their statistical models. Multilevel analysis also
provides advantages and flexibility for modeling longitudinal data. This
course will focus on teaching participants the full roadmap of multilevel
analysis: setting up and managing multilevel data, identifying data
structures, choosing the appropriate model specification, evaluating fixed
and random effects, interpreting and visualizing statistical results. We
will start with applications in the context of hierarchical linear
regression models, and then discuss several extensions suitable for
time-serious-cross-section data and categorical dependent variables.

*REMINDER: *All 2020 Summer Program courses are being offered virtually!
View all 2020 courses
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=90d5fc2e4a&e=17afda8ecf>

*Registration now open!*
To register for these or any of our courses visit our Registration page
<https://umich.us3.list-manage.com/track/click?u=4de0acf23f8cd9a943b256ebd&id=401d27a238&e=17afda8ecf>
to
get started.
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*Copyright © 2020 ICPSR Summer Program in Quantitative Methods of Social
Research, All rights reserved.*
You are receiving this email because you are a participant, TA, instructor,
or friend of the Summer Program.

*Our mailing address is:*
ICPSR Summer Program in Quantitative Methods of Social Research
P.O. Box 1248
Ann Arbor, MI 48106-1248




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