Relative Distribution Methods in the Social Sciences (Record no. 1259)

000 -LEADER
fixed length control field 02614nam a2200277Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200115105307.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0-387-98778-9
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Handcock, Mark S.
9 (RLIN) 1510
Personal name Morris, Martina
9 (RLIN) 1512
245 #0 - TITLE STATEMENT
Title Relative Distribution Methods in the Social Sciences
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 1999
Name of publisher, distributor, etc. Springer,
Place of publication, distribution, etc. Berlin et al.,
300 ## - PHYSICAL DESCRIPTION
Extent 265 pages
340 ## - PHYSICAL MEDIUM
Location within medium C4 28
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Statistics for Social Science and Public Policy
9 (RLIN) 6421
520 ## - SUMMARY, ETC.
Summary, etc. 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,
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element social sciences
9 (RLIN) 571
Topical term or geographic name entry element statistical methods
9 (RLIN) 3618
Topical term or geographic name entry element distributional analysis
9 (RLIN) 6422
Topical term or geographic name entry element data analysis
9 (RLIN) 1118
655 ## - INDEX TERM--GENRE/FORM
Genre/form data or focus term text book
9 (RLIN) 6144
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.springer.com/gp/book/9780387987781">https://www.springer.com/gp/book/9780387987781</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-10-08 C4 28 53440 2019-10-08 2019-10-08 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Behavior and Inequality Research Institute
 
Institute for Environment & Sustainability
 

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