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SPSS: An Imperative Quantitative Data Analysis Tool for Social Science Research

Author

Listed:
  • Arifa Rahman

    (Ph.D. Research Fellow, Dr. Wazed Research and Training Institute, Begum Rokeya University, Bangladesh)

  • Md. Golam Muktadir

    (Independent Researcher)

Abstract

The purpose of this paper is to elaborate on the importance of the Statistical Package for the Social Sciences, widely known as SPSS in the field of social sciences as an effective tool for quantitative data analysis. This paper includes the broader aspects of SPSS from its foundation as a statistical analysis tool to how it has advanced as a major choice for researchers from different fields of study. It is necessary for researchers, especially new researchers to know the ins and outs of SPSS as to why they should use it. This study expressed the arguments from personal experiences of using SPSS and what other SPSS users have described in various pieces of literature. Different works of literature related to SPSS and social sciences have been discussed throughout the paper. The most relevant ones have been talked about. The features and major advantages are portrayed in such a way that anyone can relate the tool with their research works. In the end, it has been evident that SPSS is considered one of the most important and influential statistical tools for quantitative data analysis.

Suggested Citation

  • Arifa Rahman & Md. Golam Muktadir, 2021. "SPSS: An Imperative Quantitative Data Analysis Tool for Social Science Research," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(10), pages 300-302, October.
    • Handle: RePEc:bcp:journl:v:5:y:2021:i:10:p:300-302
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    References listed on IDEAS

    as
    1. Niño-Zarazúa, Miguel, 2012. "Quantitative analysis in social sciences: An brief introduction for non-economists," MPRA Paper 39216, University Library of Munich, Germany.
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