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Item Details
| Title:
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REGRESSION WITH DUMMY VARIABLES
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| By: |
Melissa A. Hardy |
| Format: |
Paperback |
| List price:
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£33.99 |
| Our price: |
£30.59 |
| Discount: |
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| You save:
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£3.40 |
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| ISBN 10: |
0803951280 |
| ISBN 13: |
9780803951280 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
Currently 0 available |
| Publisher: |
SAGE PUBLICATIONS INC |
| Pub. date: |
25 February, 1993 |
| Series: |
Quantitative Applications in the Social Sciences |
| Pages: |
96 |
| Description: |
It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, 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. |
| Synopsis: |
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. |
| Publication: |
US |
| Imprint: |
SAGE Publications Inc |
| Returns: |
Returnable |
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A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
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