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My first novel, Love Me Back, was published on September 16. Writing the book took seven years, and along the way three chapters were published in... Continue »
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    Love Me Back

    Merritt Tierce 9780385538077

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Regression With Dummy Variables

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Synopses & Reviews

Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.

Synopsis:

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.

Product Details

ISBN:
9780803951280
Introduction:
Lewis-Beck, Michael S.
Publisher:
Sage Publications (CA)
Introduction by:
Lewis-Beck, Michael S.
Introduction:
Lewis-Beck, Michael S.
Author:
Hardy, Melissa A.
Location:
Newbury Park :
Subject:
Methodology
Subject:
Research
Subject:
Social sciences
Subject:
Regression analysis
Subject:
Dummy variables.
Subject:
Social sciences -- Statistical methods.
Subject:
Sociology-Reference and Methodology
Edition Description:
Includes bibliographical references p. 88-90.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
9343
Publication Date:
19930231
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
96
Dimensions:
8.64x5.42x.22 in. .25 lbs.

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Related Subjects

Health and Self-Help » Health and Medicine » Medical Specialties
History and Social Science » Sociology » Reference and Methodology
History and Social Science » World History » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Regression With Dummy Variables Used Trade Paper
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Product details 96 pages Sage Publications - English 9780803951280 Reviews:
"Synopsis" by , 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.
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