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