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Making Sense of Statistical Methods in Social Research

By: (Author) Keming Yang

Werezi Extended Catalogue
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Ksh 26,650.00

Format: Hardback or Cased Book

ISBN-10: 1847872867

ISBN-13: 9781847872869

Publisher: Sage Publications Ltd

Imprint: Sage Publications Ltd

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Apr 16th, 2010

Print length: 216 Pages

Weight: 510 grams

Product Classification: Social research & statistics

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This book discusses the conceptual foundation of statistical methods and specifies what questions they can, or cannot, answer when we study social phenomena. It also helps students understand the logic of statistical methods and the appropriate ways of using them.
Making Sense of Statistical Methods in Social Research is a critical introduction to the use of statistical methods in social research. It provides a unique approach to statistics that concentrates on helping social researchers think about the conceptual basis for the statistical methods they′re using.

Whereas other statistical methods books instruct students in how to get through the statistics-based elements of their chosen course with as little mathematical knowledge as possible, this book aims to improve students′ statistical literacy, with the ultimate goal of turning them into competent researchers.

Making Sense of Statistical Methods in Social Research contains careful discussion of the conceptual foundation of statistical methods, specifying what questions they can, or cannot, answer. The logic of each statistical method or procedure is explained, drawing on the historical development of the method, existing publications that apply the method, and methodological discussions. Statistical techniques and procedures are presented not for the purpose of showing how to produce statistics with certain software packages, but as a way of illuminating the underlying logic behind the symbols.

The limited statistical knowledge that students gain from straight forward ′how-to′ books makes it very hard for students to move beyond introductory statistics courses to postgraduate study and research. This book should help to bridge this gap.


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