Empirically Examining Research Questions in the Social Sciences: Statistical Research Methods in Comparative International Sociology

By Jonathan H. Westover.

Published by The International Journal of Science in Society

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Article: Print $US10.00
Article: Electronic $US5.00

Empirical cross-national researchers employ a variety of statistical methods to evaluate their research hypotheses. These methods include OLS cross-sectional and panel regression models, fixed and random effects models, structural equation models, hierarchical linear models, and network analysis, to name just a few. This article discusses the pros and cons of these various methodologies and describes for what type of social science research question each is most appropriate.

Keywords: Statistical Methodology, Social Sciences, Comparative International Sociology

The International Journal of Science in Society, Volume 1, Issue 1, pp.93-98. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.534MB).

Dr. Jonathan H. Westover

Assistant Professor of Business, Woodbury School of Business, Utah Valley University, Lehi, Utah, USA

Jonathan H. Westover is an Assistant Professor of Business at Utah Valley University. He received a Master’s of Public Administration with an emphasis in Human Resource Management and Organizational Behavior. As a doctoral student, his research interests combined Comparative International Sociology and Organizational Sociology. His ongoing research examines issues of global development, work-quality characteristics, and the determinants of job satisfaction cross-nationally.