Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.
Home
> Subjects
> Statistical Modeling and Inference for Social Science

Statistical Modeling and Inference for Social Science

Authors

Sean Gailmard
, University of California, Berkeley
Published 2014

Description

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables…

  • Get access
  • Add bookmark
  • Cite
  • Share

Key features

  • Integrates social science theory and statistical models
  • Focuses on statistical techniques as used by social scientists
  • Assumes no prior background in statistics
  • Provides extensive guidance to students on introductory reading in statistical literature

About the book

Access options

Review the options below to login to check your access.

Purchase options

There are no purchase options available for this title.

Have an access code?

To redeem an access code, please log in with your personal login.

Log in

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers

Related content

AI generated results by Discovery for publishers [opens in a new window]