Munich Personal RePEc Archive

Development and Validation of Survey Questionnaire & Experimental Data – A Systematical Review-based Statistical Approach

Aithal, Architha and Aithal, Sreeramana (2020): Development and Validation of Survey Questionnaire & Experimental Data – A Systematical Review-based Statistical Approach. Published in: International Journal of Management, Technology, and Social Sciences (IJMTS) , Vol. 5, No. 2 (31 October 2020): pp. 233-251.

[thumbnail of MPRA_paper_103996.pdf]

Download (945kB) | Preview


In quantitative research methodology, the empirical research method is finding importance due to its effectiveness in carrying out research in social sciences, business management, and health sciences. The empirical research method contains the procedure of developing a model to find the relationship between different variables identified in a problem. Based on developing hypotheses and testing hypotheses, one can examine and improve the model to explain real-world phenomena. The empirical research method consists of using a survey-based questionnaire to collect the data to identify and interrelate variables present in the problem. It is a comparatively difficult task to design and develop an effective, efficient, and psychometrically perfect questionnaire to be used for research data collection in empirical and clinical research settings. This paper provides a reference on guidelines and framework for developing suitable questionnaires for use in social sciences, business management, medical, and paramedical research with a special emphasis on various stages of questionnaire preparation, preliminary questionnaire testing, and validation (reliability & validity) of the questionnaire using a number of statistical methods. The paper throws light on data collection and analysis stages before the finalization of the developed model for testing hypotheses in empirical research by providing guidelines for the design, development, and translation of questionnaires for application in the above-mentioned research fields. The different types of validation processes required for cleaning the data by various measuring instruments in experimental research are also discussed for comparison. A framework is suggested to guide researchers through the various stages of questionnaire design, development, and improvement using suitable statistical methods to assess the reliability and validity of the questionnaire used in empirical research and validation of the data obtained in experimental research.

Atom RSS 1.0 RSS 2.0

Contact us: mpra@ub.uni-muenchen.de

This repository has been built using EPrints software.

MPRA is a RePEc service hosted by Logo of the University Library LMU Munich.