Regression with Dummy Variables
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Description: Social scientists are often interested in studying differences in groups, such as gender or race differences in attitudes, buying behaviors, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative (i.e., measured at only the nominal level), dummy variables will 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.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $19.00
Copyright year: 1993
Publisher: SAGE Publications, Incorporated
Publication date: 2/25/1993
Size: 5.50" wide x 8.50" long x 0.25" tall
|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|