Regression with Dummy Variables
By (author) Melissa A. Hardy
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Regression with Dummy Variables by Melissa A. Hardy
Book DescriptionIt 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.
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Book DetailsISBN: 9780803951280
(216mm x 140mm x 5mm)
Imprint: SAGE Publications Inc
Publisher: SAGE Publications Inc
Publish Date: 23-Apr-1993
Country of Publication: United States
Books By Author Melissa A. Hardy
Handbook of Data Analysis, Paperback (May 2009)
A fundamental book for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis. Scholars and students can turn to it for teaching and applied needs with confidence.
Studying Aging and Social Change, Paperback (September 1997)» View all books by Melissa A. Hardy
This work develops fresh theoretical concepts to explore ageing as a social process. The contributions link the theoretical concepts to issues of research design and analysis, and provide insights into how we can understand fundamental social processes such as human development and socialization.
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Author Biography - Melissa A. Hardy
RESEARCH aND TEACHING INTERESTS Quantitative Analysis Techniques, Longitudinal Methods; Aging & Social Change; Public Policy and Aging. Social Inequality, Social Sciences and Humanities Research Council of Canada. "Workforce aging in the new economy: A comparative study of information technology employment" (Julie A. McMullin, PI; Victor Marshall, Joann Marshall, University of North Carolina; Neil Charness, Florida State University). October 2002 - September 2006. Work and Retirement, including the influence of organizational incentives, pensions, family decision-making, health, job satisfaction; Public Policy, including Social Security, the Age Discrimination and Employment Act, the Employee Retirement Income Security Act, Medicare and Medicaid; Political Attitudes, including analysis of social change and individual aging; Women's Issues and Aging, including poverty and financial security, caregiving, long-term care, intergenerational assistance, and health; Cognitive Components of Saving and Investment behavior, including planning horizon, discounting, risk tolerance, deferred gratification; Older Workers, including training, displacement, work schedules, job demands, organizational incentive structures.
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