Statistical Methods in Social Science Research

ISBN-13: 9789811321450 / Angielski / Twarda / 2018 / 152 str.

S. P. Mukherjee; Bikas K. Sinha; Asis Chatterjee

Opis

This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research.

Recenzje

"I feel that it is a complete book, useful for students and practitioners in social science research. ... The book could also serve as a reference manual and should be considered a must-have for the interested audience." (Luca Bertolaccini, ISCB News, Vol. 68, December, 2019)

Spis treści

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.

O autorze

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 International Federation of Operational Research Societies (IFORS ).

Bikas Kumar Sinha was affiliated to the Indian Statistical Institute (ISI), Kolkata, India for more than 30 years until his retirement in 2011. He has travelled extensively within USA and Europe for collaborative research and teaching assignments. He has more than 140 research articles published in peer-reviewed journals and almost 100 research collaborators worldwide. His research interests cover a wide range of theoretical and applied statistics. He has co-authored three volumes on Optimal Designs in Springer’s Lecture Notes Series in Statistics (Vol. 54 in 1989, Vol. 163 in 2002 and Vol. 1028 in 2014) and another volume on theory and applications of Optimal Covariate Designs, also published by Springer (2015).

Asis Kumar Chattopadhyay is a Professor of Statistics at Calcutta University, Kolkata, India, from where he also obtained his PhD in Statistics. With over 50 papers in respected international journals, proceedings and edited volumes, he has published three books on statistics including two published by Springer – ‘Statistical Methods for Astronomical Data Analysis’ (Springer Series in Astrostatistics, 2014) and ‘Statistics and its Applications: Platinum Jubilee Conference, Kolkata, India, December 2016’ (Springer Proceedings in Mathematics & Statistics, 2018). His main interests are in stochastic modeling, demography, operations research and astrostatistics.

Blurb

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.