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Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences) - Softcover
Book 3 of 40: Statistics for Social and Behavioral Sciences
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This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, 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 - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods.
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SOCIOLOGICAL METHODS & RESEARCH
"This book is a good example of how advances in statistics and increased computing power can enable us to be more careful researchers by exploring and preserving the complexities of observed data. I recommend it enthusiastically."
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Relative Distribution Methods in the Social Sciences
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Relative Distribution Methods in the Social Sciences
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Relative Distribution Methods in the Social Sciences
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Springer New York Mrz 2013, 2013
ISBN 10: 1475772564
ISBN 13: 9781475772562
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, 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 - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods. 284 pp. Englisch. Seller Inventory # 9781475772562
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Relative Distribution Methods in the Social Sciences
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Relative Distribution Methods in the Social Sciences
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Condition: New. Print on Demand pp. 284 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Seller Inventory # 94537313
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Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences)
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Relative Distribution Methods in the Social Sciences
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statis. Seller Inventory # 4207758
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Relative Distribution Methods in the Social Sciences
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Relative Distribution Methods in the Social Sciences
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, Seller Inventory # 9781475772562
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