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Handcock, Mark S., Morris, Martina - Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences) - 9780387987781 - V9780387987781
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Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences)

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Description for Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences) Hardcover. A monograph that presents methods for full comparative distributional analysis based on the relative distribution. It is suitable for data analysts and those interested in measurement. Series: Statistics for Social and Behavioral Sciences. Num Pages: 266 pages, biography. BIC Classification: JHBC; PBK. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 17. Weight in Grams: 576.
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, ... Read more

Product Details

Format
Hardback
Publication date
1999
Publisher
Springer
Condition
New
Series
Statistics for Social and Behavioral Sciences
Number of Pages
266
Place of Publication
New York, NY, United States
ISBN
9780387987781
SKU
V9780387987781
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences)
From the reviews: 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."

Goodreads reviews for Relative Distribution Methods in the Social Sciences (Statistics for Social and Behavioral Sciences)


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