ADVANCING SOCIAL SCIENCE RESEARCH: A COMPREHENSIVE REVIEW OF SPSS APPLICATIONS AND FUTURE DIRECTIONS
Author:
Govind Singh Yadav
This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Statistical Package for the Social Sciences widely known as SPSS is one of the most effective tools for quantitative data analysis in the field of social science. This review article examines the applications, advantages, and limitations of SPSS in social science research, highlighting its utility in descriptive statistics, inferential statistics, correlation, and regression analysis, ANOVA, factor analysis, and non-parametric tests. Due to its user-friendly interface and better functional ability, it has gained more popularity among researchers. The future direction for SPSS includes advancing its ability to manage big data achieved through cloud integration, advancement of real-time analytics, and integration with AI and advanced machine learning. Improvement in data visualization along with interactive tutorials that can easily be assessed plus fostering open-source collaboration. Nevertheless, despite these technical enhancements, we should still remember that it’s aimed at being a tool used within social science research which means that the ultimate goal would be to make it easier for such researchers, allowing them to perform sophisticated analyses without difficulty obtaining meaningful insights. The use of SPSS offers advantages and limitations; thus, any potential user should be aware of what they can expect when utilizing this software package for their research needs.
Pages | 50-53 |
Year | 2024 |
Issue | 2 |
Volume | 5 |