A Systematic Framework for Selecting Parametric Statistical Analysis Methods in Social Sciences and Management Research

Document Type : Original Article

Authors

1 Professor, Department of Industrial Management, Faculty of Administrative Sciences and Economics, Ferdowsi University, Mashhad, Iran

2 PhD Student, Department of Industrial Management, Faculty of Administrative Sciences and Economics, Ferdowsi University, Mashhad, Iran

Abstract
This paper aims to provide a practical and comprehensive guide for selecting appropriate statistical methods in social science and management research by systematically examining various statistical techniques and their applications in data analysis. Given the increasing complexity of relationships among variables and the significant diversity of measurement scales in human sciences studies, the selection of a suitable statistical method is of paramount importance and plays a decisive role in the validity and precision of research findings. To this end, this article presents comprehensive and applied flowcharts and tables to assist researchers in choosing a proportionate and efficient method by carefully considering the type and number of variables, research objectives, and the assumptions of statistical methods. The primary goal of these tables is to facilitate the decision-making process for researchers. Furthermore, the present paper discusses the role and importance of statistical methods in enhancing the quality and credibility of social science and management research, demonstrating that the correct choice of statistical techniques can lead to increased accuracy, generalizability, and validity of research outcomes. Ultimately, this article endeavors to aid researchers in the fields of social sciences and management in conducting more precise and credible research by offering practical guidance. In this regard, the paper makes the practical application of statistical methods more tangible for researchers by including concrete examples from various managerial domains.

Keywords


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