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(734) 764-6717
Applications: Consumer File Data, Mining Social Media, Political Attitudes and Behaviors, Public Opinion, Science Knowledge, Social Information Flows Methodologies: Constrained Regressions, Correlational Analyses, Hierarchical Bayes, Multiple Imputation, Regression Modeling, Text Mining, Weighting Connections: Board member for Information Technology and Politics Section of American Political Science Association (APSA), Emerging Technologies Task Force member for American Association for Public Opinion Research (AAPOR)

Josh Pasek

Assistant Professor, Communication Studies

Affiliation(s):

Center for Political Studies

Josh Pasek is Assistant Professor of Communication Studies and Faculty Associate in the Center for Political Studies at the University of Michigan.  His substantive research explores how new media and psychological processes each shape political attitudes, public opinion, and political behaviors.  Josh also examines issues in the measurement of public opinion including techniques for incorporating social trace data as a means of tracking attitudes and behaviors.  Current research evaluates whether the use of online social networking sites such as Facebook and Twitter might be changing the political information environment, and assesses the conditions under which nonprobability samples, such as those obtained from big data methods or samples of Internet volunteers can lead to conclusions similar to those of traditional probability samples.  His work has been published in Public Opinion Quarterly, Political Communication, Communication Research, and the Journal of Communication among other outlets.  He also maintains two R packages for producing survey weights (anesrake) and analyzing weighted survey data (weights).