Statistical Methods in Social Science Research [Hardcover]

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.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.

Shyama Prasad Mukherjee retired as the Centenary Professor of Statistics at Calcutta University, where he was involved in teaching, research and promotional work in the areas of statistics and operational research for more than 35 years. He was the Founder Secretary of the Indian Association for Productivity, Quality and Reliability and is now its Mentor. He received the Eminent Teacher Award [2006] from Calcutta University, P.C. Mahalanobis Birth Centenary Award from the Indian Science Congress Association [2000] and Sukhatme Memorial Award for Senior Statisticians from the Government of India [2013]. A Fellow of the National Academy of Sciences of India, Professor Mukherjee has about 80 research papers to his credit. He was a Vice-President of the Intel#}