Authors:
- Considers recent problems in social science research, for example social and occupational mobility
- Provides modern methods and tools for the analysis of data, like analysis of agreement, and multi-dimensional scaling
- Supplements theoretical discussions with worked examples from social science research problems
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Table of contents (13 chapters)
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Front Matter
About this book
Keywords
- Stanine Scores
- Equivalent Scores
- Likert’s Scaling
- Product Scaling
- U-shaped Distributions
- Coding
- Reliability
- Triangulation
- Validity
- Visualization
- Dis-similarity Matrix
- Stress
- Weighted MDS
- Non-metric MDS
- Hierarchical Clustering
- Partitioning Method
- Variable Clustering
- Model Based Classification
- Optimum Cluster Number
- Dimension Reduction
Reviews
“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)
Authors and Affiliations
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Department of Statistics, University of Calcutta, Howrah, India
S P Mukherjee
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Indian Statistical Institute, Kolkata, India
Bikas K Sinha
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Department of Statistics, University of Calcutta, Kolkata, India
Asis Kumar Chattopadhyay
About the authors
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.Bibliographic Information
Book Title: Statistical Methods in Social Science Research
Authors: S P Mukherjee, Bikas K Sinha, Asis Kumar Chattopadhyay
DOI: https://doi.org/10.1007/978-981-13-2146-7
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-13-2145-0Published: 22 October 2018
Softcover ISBN: 978-981-13-4739-9Published: 01 February 2019
eBook ISBN: 978-981-13-2146-7Published: 05 October 2018
Edition Number: 1
Number of Pages: XI, 152
Number of Illustrations: 3 b/w illustrations
Topics: Statistics for Social Sciences, Humanities, Law, Statistics for Business, Management, Economics, Finance, Insurance, Statistics and Computing/Statistics Programs