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Description - Quantitative Social Research Methods by Kultar Singh

Quantitative Social Research Methods explores the entire spectrum of quantitative social research methods and their application, with special reference to the development sector. It provides detailed coverage of all statistical research and analysis method with an emphasis on multivariate analysis techniques, such as regression discriminant analysis, logistic regression, factor, factor, cluster, correspondence and conjoint analysis. The book is thematically arranged in two sections: the first section introduces development research techniques, explores the genesis and scope of social research, research processes and then goes on to explain univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. The second focuses on the application of social and development research methods in the development sector. It explores research method application and the issues relevant to aspects of development such as population, health and nutrition, poverty and rural development, education, water and sanitation, and environment and natural resource management.

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Book Details

ISBN: 9780761933830
ISBN-10: 0761933832
Format: Paperback
(241mm x 158mm x 22mm)
Pages: 432
Imprint: SAGE Publications Inc
Publisher: SAGE Publications Inc
Publish Date: 7-Mar-2007
Country of Publication: United States

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Author Biography - Kultar Singh

Kultar Singh is founding member and Director, Sambodhi Research and Communications. He has worked extensively on research projects covering a wide gamut of development issues, including poverty, livelihood, health and nutrition, and HIV/AIDS. He has garnered extensive quantitative research experience during his association with organisations such as ACNielsen ORGMARG, CARE, BASICS and PFI. Mr Singh has also written extensively on social and developmental issues. His interests include development research and project planning management, and advanced data analysis using quantitative and qualitative statistical software such as SPSS, STATA, EPI Info, ATLAS Ti and N6.