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Home > Society and Social Sciences > Sociology and anthropology > Sociology > Social research and statistics > Regression with Dummy Variables: (Quantitative Applications in the Social Sciences)
Regression with Dummy Variables: (Quantitative Applications in the Social Sciences)

Regression with Dummy Variables: (Quantitative Applications in the Social Sciences)


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About the Book

It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behaviour, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables allow the researcher to represent information about group membership in quantitative terms without imposing unrealistic measurement assumptions on the categorical variables. Beginning with the simplest model, Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity and estimating a piecewise linear regression.

Table of Contents:
Introduction Creating Dummy Variables Using Dummy Variables as Regressors Assessing Group Differences in Effects Alternative Coding Schemes for Dummy Variables Special Topics in the Use of Dummy Variables Conclusions

About the Author :
Melissa Hardy is a Distinguished Professor Emeritus of Sociology and Demography at Penn State University in University Park. She is an alumna of Albright College and Indiana University in Bloomington. Her research focused on aging and the life course, retirement and age-stratified transitions, self-assessed health, and political attitudes using longitudinal data and a range of quantitative techniques.  Her published work appears in American Sociological Review, Social Forces, Journal of Health and Social Behavior, and Demography. She enjoyed teaching social statistics and general linear models to graduate and undergraduates students, using everyday experiences to help them understand the meaning of statistical concepts.


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Product Details
  • ISBN-13: 9780803951280
  • Publisher: SAGE Publications Inc
  • Publisher Imprint: SAGE Publications Inc
  • Height: 215 mm
  • No of Pages: 96
  • Series Title: Quantitative Applications in the Social Sciences
  • Width: 139 mm
  • ISBN-10: 0803951280
  • Publisher Date: 23 Apr 1993
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 140 gr


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