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Statistical Methods in Social Science Research [electronic resource] / by S P Mukherjee, Bikas K Sinha, Asis Kumar Chattopadhyay

Author
Mukherjee, S. P.
Published
Singapore : Springer Singapore : Imprint: Springer, 2018.
Physical Description
XI, 152 pages 3 illustrations : online resource
Additional Creators
Sinha, Bikas K., Chattopadhyay, Asis Kumar, and SpringerLink (Online service)
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Contents
1. Introduction -- 2. Randomized Response Technique -- 3. Content Analysis -- 4.Scaling Techniques -- 5.Data Integration -- 6. Dis-agreement vs. Agreement -- 7. Meta Analysis -- 8. Cluster and Discriminant Analysis -- 9. Principal Component Analysis -- 10. Factor Analysis -- Multidimensional Scaling -- 11. Social and Occupational Mobility -- 12. Social Network Analysis.
Summary
This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region-) specific, while others are generic and common. Statistics, being a scientific method - as distinct from a 'science' related to any one type of phenomena - is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers.
Subject(s)
ISBN
9789811321467
Digital File Characteristics
text file PDF
Part Of
Springer eBooks
View MARC record | catkey: 25057351