Introduction

S. P. Mukherjee (), Bikas K. Sinha and Asis Kumar Chattopadhyay ()
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S. P. Mukherjee: University of Calcutta, Department of Statistics
Bikas K. Sinha: Indian Statistical Institute
Asis Kumar Chattopadhyay: University of Calcutta, Department of Statistics

Chapter Chapter 1 in Statistical Methods in Social Science Research, 2018, pp 1-11 from Springer

Abstract: Abstract Quantification of various concepts and constructs as also quantitative analysis of survey data have gained a lot more of acceptance than is necessarily warranted in some situations. And this has—possibly as an expected consequence—resulted in unimaginative development and application of statistical tools in some instances of social science research where we have to deal with concepts which defy unique definitions and measures. This chapter attempts to review some of the innate problems in using statistics in the context of social science research. The idea is not to discourage the growing use of statistical analysis, but to bring out inherent limitations which should be kept in mind by a researcher, while interpreting the results of analysis. Beyond this, the chapter goes on to indicate some of the commonly used techniques of analysis useful in social science research that have been discussed in the subsequent chapters of this book.

Keywords: Social Science Research; Mover-stayer Model; Randomized Response Technique; Organizational Climate Survey; Social Accounting Matrix (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-2146-7_1

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DOI: 10.1007/978-981-13-2146-7_1

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