Community
Books that Use SDA for Exercises and Examples
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Analyzing Inequalities: An introduction to Race, Class, Gender, and Sexuality Using the General Social Survey,
(2017) by Catherine E. Harnois.
This book is a practical resource for helping students connect sociological issues with
real-world data in the context of their first undergraduate sociology courses.
This work-text introduces readers to the GSS, one of the most widely analyzed surveys
in the U.S.; examines a range of GSS questions related to social inequalities; and
demonstrates basic techniques for analyzing this data online using SDA.
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Conducting Empirical Analysis: Public Opinion in Action, (2010) by Rosalee A. Clawson and
Zoe M. Oxley.
The authors "show students how to conduct web-based data analysis using UC Berkeley’s
Survey Documentation and Analysis ... to answer questions about party identification or
attitude stability, and to measure racial prejudice and political knowledge. Exercises cover
a range of data collection techniques, survey research, and statistical analyses, ramping up
from multiple-choice and open-ended questions to mini-research projects."
- Statistics: The Art and Science of Learning from Data, 3rd ed. (2011)
by Alan Agresti and Christine Franklin.
This book uses SDA for various exercises/examples.
- Hands-on Sociology, 3rd ed. (2005)
by William Feigelman and Yih-Jin Young.
This book uses SDA -- both at this site and other sites -- to teach
beginning sociology students data analysis. "Hands-On
Sociology" won the 2005 ICPSR Prize Competition: Best
Instructional Module or Instructional Innovation in the Social Sciences and
Social Science History.
Instructional Materials that Use SDA for Exercises and Examples
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ICPSR's Data-Driven Learning Guides
"use online data analysis to teach social science concepts."
All analyses are powered by SDA.
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Voting Behavior: The 2020 Election (SETUPS)
is an ICPSR instructional module that focuses on voting behavior in the
2020 election using a dataset drawn from the
2020 American National Election Study (ANES).
The examples and exercises use SDA.
This is the latest release in the SETUPS
(Supplementary Empirical Teaching Units in Political Science) series.
Earlier units covering the 2004, 2008, 2012 and 2016 elections are
also available.
The SETUPS site was awarded the American Political Science Association's
2006 Rowman & Littlefield Award for Innovative Teaching in
Political Science.
It was also named the Best Instructional Web Site for 2005-06
by the APSA's Information Technology and Politics section.
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Investigating Community and Social Capital
is an instructional module at ICPSR that teaches data analysis of
social capital, as discussed in Robert D. Putnam's
Bowling Alone.
Concepts illustrated include replication, unit of analysis, level of
measurement, analysis over time versus cross-sectional analysis,
crosstabulation, creating an index, and correlation. The exercises use SDA.
SDA Tutorials
Some Other Data Archives that Use SDA
IPUMS - University of Minnesota
The
IPUMS
top-level site lists links to their various projects.
Many of their projects provide online analysis using SDA.
Note that all access is free, but creating a login account is required.
Below is a list of various IPUMS projects that provide SDA analysis.
Select 'Analyze Data Online' to access SDA.
IPUMS recently published a blog post about their increased use of SDA:
Even More IPUMS Data Available in the SDA Online Data Analysis Tool
ICPSR - University of Michigan
(Access limited to students and staff of member institutions; login required)
Other University-Based Archives
- CHASS at the University of Toronto
Over 1000 datasets are currently available for analysis using SDA at CHASS.
See their SDA@CHASS brochure
for more information.
- UC Berkeley D-Lab archive of
IGS and California Field Polls
Under the heading "Data from the IGS and CA Field Polls" the first link
goes to a page with a list of links to individual datasets available
for analysis in SDA. The second link goes to an SDA cross-study
search page that allows you to enter search terms to find survey
items within the datasets that match your query.