Regression with Dummy Variables
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| Management number | 238725232 | Release Date | 2026/07/11 | List Price | US$19.25 | Model Number | 238725232 | ||
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<p>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. <br><br><br></p>
- Quantitative Applications in the Social Regression with Dummy Variables, Book 93, (Paperback)
- Author: Melissa A Hardy
- ISBN: 9780803951280
- Format: Paperback
- Publication Date: 1993-02-25
- Page Count: 96
| Book format | Paperback |
|---|---|
| Fiction/nonfiction | Non-Fiction |
| Genre | Political & Social Sciences |
| Publication date | February, 1993 |
| Pages | 96 |
| Reading level | Professional & Vocational |
| Subgenre | Methodology |
| Series title | Quantitative Applications in the Social Sciences |
| Number in series | 93 |
| Edition | 1 |
| Publisher | Sage Publications |
| Original languages | English |
| Language | English |
| Edu focus | Social Science |
| Educational level | General |
| Is collectible | N |
| Editor | Stephen Andrew Linstead, James J. Fawcett |
| Binding type | Paperback |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 5.42 x 0.22 x 8.64 in |
| Assembled product weight | 0.25 lb |
| Bisac subject heading | Social Science |
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