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Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata

by Robert L. Kaufman
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Current price ₹11,452.00
Original price ₹16,360.00
Original price ₹16,360.00
Original price ₹16,360.00
(-30%)
₹11,452.00
Current price ₹11,452.00

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Book cover type: Hardcover
  • ISBN13: 9781506365374
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Sage Publications, Inc
  • Publisher Imprint: Sage Publications, Inc
  • Publication Date:
  • Pages: 608
  • Original Price: USD 169.0
  • Language: English
  • Edition: N/A
  • Item Weight: 1134 grams
  • BISAC Subject(s): Statistics, Probability & Statistics / General, and Methodology

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata (downloadable from the Robert L. Kaufman's website), and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The data sets and the Stata code to reproduce the results of the application examples are available online.

Robert Kaufman (PhD University of Wisconsin, 1981) is professor of sociology and the Chair of the Department of Sociology at Temple University. His substantive research focuses on economic structure and labor market inequality, especially with respect to race, ethnicity, and gender. He has also explored other realms of race-ethnic inequality, including research on wealth, home equity, residential segregation, traffic stops and treatment by police, and media portrayals of crime. More abstract statistical issues motivate some of his current work on evaluating different methods for correcting for heteroskedasticity using Monte Carlo simulations. Dr. Kaufman has published papers on quantitative methods in American Sociological Review, American Journal of Sociology, Sociological Methodology, Sociological Methods and Research, and Social Science Quarterly. He served on the editorial board of Sociological Methods and Research for 15 years and has taught graduate-level statistics courses nearly every year for the past 30 years.

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