The Role of Statistics in Enhancing Data Quality in Social Research
Abstract
This study discusses the core function of statistics in improving data quality in social research. The more empirical data is at the core of social science, the more critical become issues of truth and accuracy. This study will use statistical methodologies to pinpoint and resolve various data quality problems common in general studies. The result may be a framework for researchers to ensure that the data is indeed valid. It kicks off with an in-depth review of the literature to try and get a handle on what is being done currently and how the phenomenon of data quality is construed in its dimensions. At this point, the methodology will be able to point to the gaps. Yes, statistics will be able to fill them. The study adopts a descriptive research design with both survey and interview methods for collecting information from informants composed of social researchers. Advanced statistical techniques such as regression analysis, cluster analysis, and factor analysis will be employed to critically assess the efficiency of these methods in enhancing data quality. Illustration through the analysis of case studies on practical application and challenges is what provides evidence. Indeed, statistical tools make social research data within reach-in terms of clarity, consistency, and dependability. Results of this study lead to practical recommendations for the implementation of statistical techniques by researchers and a future study on setting the use of artificial intelligence on another level with statistical methods toward further improvement in the quality of the data
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