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Statistical Methods in Social Science Research

  • S P Mukherjee
  • Bikas K Sinha
  • Asis Kumar  Chattopadhyay

Table of contents

  1. Front Matter
    Pages i-xi
  2. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 1-11
  3. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 13-27
  4. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 29-37
  5. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 39-52
  6. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 53-60
  7. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 61-68
  8. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 69-74
  9. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 75-94
  10. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 95-102
  11. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 103-111
  12. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 113-122
  13. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 123-133
  14. S. P. Mukherjee, Bikas K. Sinha, Asis Kumar Chattopadhyay
    Pages 135-152

About this book

Introduction

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.

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

Authors and affiliations

  • S P Mukherjee
    • 1
  • Bikas K Sinha
    • 2
  • Asis Kumar  Chattopadhyay
    • 3
  1. 1.Department of StatisticsUniversity of CalcuttaHowrahIndia
  2. 2.Indian Statistical InstituteKolkataIndia
  3. 3.Department of StatisticsUniversity of CalcuttaKolkataIndia

Bibliographic information

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