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Robert Crosnoe, Chair CLA 3.306, Mailcode A1700, Austin, TX 78712 • 512-232-6300

David Pedulla

Ph.D., Princeton University

Assistant Professor
David Pedulla

Contact

Biography

David Pedulla is an Assistant Professor in the Department of Sociology and a Faculty Research Associate of the Population Research Center at the University of Texas at Austin. His research interests include race and gender stratification, labor markets, economic and organizational sociology, and experimental methods. Specifically, his research agenda examines the consequences of the rise of non-standard, contingent, and precarious employment in the United States as well as the processes leading to race and gender labor market stratification. David’s research has appeared in or is forthcoming at American Sociological ReviewAmerican Journal of SociologySocial Forces, and Social Psychology Quarterly. His work has been supported by the National Science Foundation, the Russell Sage Foundation, the Horowitz Foundation for Social Policy, and the UC-Davis Center for Poverty Research. He received his Ph.D. in Sociology and Social Policy from Princeton University and his B.A. in History from Boston College. More information is available on his website.

SOC 317M • Intro To Social Research

44955 • Spring 2015
Meets TTH 1100am-1200pm CLA 0.118
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Course Description:

How do social scientists know what they know? This course strives to address that question by introducing students to the research methods used by sociologists to understand the world around them. The following are among the topics covered in this course: 1) How to link social theory with empirical inquiry; 2) How to identify the relative strengths and weaknesses of qualitative and quantitative approaches to social research; 3) How to critically understand and evaluate the claims made by social scientists about their research findings; 4) How to analyze, interpret, and present survey data; and 5) How to conceptualize and design a research project. The course will also cover the ethics and politics of conducting social research. Additionally, there will be a lab component to this course, which will take a “hands on” approach to the material covered in class and provide students with the necessary skills to analyze survey data.

Required Readings:

 

In addition to articles and readings that will be provided on the course website, we will use the following textbook:

Babbie, Earl. 2013. The Practice of Social Research (13th Edition). Wadsworth, Cengage Learning.

Course Grading:

 Grades for the course will be based on two exams (exam 1 = 20%, exam 2 = 20%), an analysis paper (15%), a research proposal (20%), a class presentation (5%), lab assignments (15%), and class participation (5%).

Attendance in class and at the lab is required and will be factored into the class participation component of the grade. Make-up exams will not be allowed, except in extreme circumstances. Late assignments will only be accepted if approved in advance by the professor.

 

SOC 387C • Experimental Methods In Soc

45135 • Spring 2015
Meets T 300pm-600pm CLA 3.106
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Course Description:

Experiments are a powerful tool for researchers interested in causal inference. Focusing on survey- and field-experimental approaches, this course will introduce students to the logic, design, and implementation of experiments for social science research. We will begin by developing an understanding of how experimental research designs can address some of the central threats to causal identification, such as selection and omitted variables bias. Students will then engage with scholarship that has utilized experimental research designs to produce theoretical insights about topics ranging from social stratification to the dynamics of cultural markets to political mobilization. This course will also cover techniques for analyzing experimental data, strategies for dealing with noncompliance, combining experiments with other methods of inquiry, and the limitations of experiments for sociological theory development. The course will culminate with students developing an experimental research design related to their own scholarly interests. While a basic understanding of statistics is necessary for this course, the emphasis will be on research design.

Required Readings:

 

Gerber, Alan S., and Donald P. Green. 2012. Field Experiments: Design, Analysis, and Interpretation. New York: W.W. Norton.

Mutz, Diana C. 2011. Population-Based Survey Experiments. Princeton: Princeton University Press.

Additional readings will be provided on the course website.

Course Grading:

Critique of experimental design paper, 3-5 pages (20% of final grade)

Analysis paper, 3-5 pages (20% of final grade)

Experimental research proposal, 5-7 pages (30% of final grade)

Presentation of research proposal (10% of final grade)

Class participation (20% of final grade)

 

SOC 317M • Intro To Social Research

46141 • Fall 2014
Meets MW 1000am-1100am CLA 1.302D
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Course Description:

How do social scientists know what they know? This course strives to address that question by introducing students to the research methods used by sociologists to understand the world around them. The following are among the topics covered in this course: 1) How to link social theory with empirical inquiry; 2) How to identify the relative strengths and weaknesses of qualitative and quantitative approaches to social research; 3) How to critically understand and evaluate the claims made by social scientists about their research findings; 4) How to analyze, interpret, and present survey data; and 5) How to conceptualize and design a research project. The course will also cover the ethics and politics of conducting social research. Additionally, there will be a lab component to this course, which will take a “hands on” approach to the material covered in class and provide students with the necessary skills to analyze survey data.

Required Readings:

In addition to articles and readings that will be provided on the course website, we will use the following textbook:

Babbie, Earl. 2013. The Practice of Social Research (13th Edition). Wadsworth, Cengage Learning.

Course Grading:

Grades for the course will be based on two exams (exam 1 = 20%, exam 2 = 20%), an analysis paper (15%), a research proposal (20%), a class presentation (5%), lab assignments (15%), and class participation (5%).

Attendance in class and at the lab is required and will be factored into the class participation component of the grade. Make-up exams will not be allowed, except in extreme circumstances. Late assignments will only be accepted if approved in advance by the professor.

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