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Relative distribution methods in the...

Handcock, Mark Stephen,1961-

Relative distribution methods in the social sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Relative distribution methods in the social sciences/ Mark S. Handcock, Martina Morris.
Author:	Handcock, Mark Stephen,
other author:	Morris, Martina,
Published:	New York :Springer,�999.
Description:	1 online resource (xiii, 265 pages) :illustrations.
標題:	Social sciences - Statistical methods. -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0387226583 (electronic bk.)
ISBN:	9780387226583 (electronic bk.)

Relative distribution methods in the social sciences
Handcock, Mark Stephen,1961-

Relative distribution methods in the social sciences[electronic resource] /Mark S. Handcock, Martina Morris. - New York :Springer,�999. - 1 online resource (xiii, 265 pages) :illustrations. - Statistics for social science and public policy. - Statistics for social science and public policy..

Includes bibliographical references and index.

Cover -- Preface -- Table of Contents -- 1. Introduction and Motivation -- 2. The Relative Distribution -- 3. Location, Scale and Shape Decomposition -- 4. Application: White Men's Earnings 1967-1997 -- 5. Summary Measures -- 6. Application: Earnings by Race and Sex: 1967-1997 -- 7. Adjustment for Covariates -- 8. Application: Comparing Wage Mobility in Two Eras -- 9. Inference for the Relative Distribution -- 10. Inference for Summary Measures -- 11. The Relative Distribution for Discrete Data -- 12. Application: Changes in the Distribution of Hours Worked -- 13. Quantile Regression -- Appendices -- References.

In social science research, differences among groups or changes over time are a common focus of study. While means and variances are typically the basis for statistical methods used in this research, the underlying social theory often implies properties of distributions that are not well captured by these summary measures. Examples include the current controversies regarding growing inequality in earnings, racial diferences in test scores, socio-economic correlates of birth outcomes, and the impact of smoking on survival and health. The distributional differences that animate the debates in these fields are complex. They comprise the usual mean-shifts and changes in variance, but also more subtle comparisons of changes in the upper and lower tails of distributions. Survey and census data on such attributes contain a wealth of distributional information, but traditional methods of data analysis leave much of this information untapped. In this monograph, we present methods for full comparative distributional analysis. The methods are based on the relative distribution, a nonparametric complete summary of the information required for scale--invariant comparisons between two distributions. The relative distribution provides a general integrated framework for analysis. It offers a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition that enables one to examine complex hypotheses regarding the origins of distributional changes within and between groups. The monograph is written for data analysts and those interested in measurement, and it can serve as a textbook for a course on distributional methods. The presentation is application oriented.

ISBN: 0387226583 (electronic bk.)Subjects--Topical Terms:

150004
Social sciences
--Statistical methods.Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: HA29 / .H2488 1999eb

Dewey Class. No.: 519.5

Relative distribution methods in the social sciences
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