ME-612 Survey of Statistical Methods

This course provides an overview of multivariate data analysis methods for research in the area of international management. The course will present the procedures for applying basic multivariate statistical techniques and provide hands-on experience with many of those techniques. The primary objectives for this course are (1) to provide the student with the knowledge and confidence to identify appropriate data analysis tools for testing theories that are relevant to their field of research and (2) to equip the student with the background needed to develop deeper knowledge of techniques that are not explicitly covered in this course, or are not covered in sufficient detail for their particular research projects. The core topics and techniques introduced in this course are:

1. Introduction

1. Philosophy of Science and research methods

2. The research process, research strategies

3. Research ethics

4. Open science and project pre-registration

2. Descriptives and mean comparison tests 5. Descriptive statistics, correlation, covariance

6. Independent sample t-test, paired sample t-test, Mann-Whitney U test

7. Chi-square tests

8. ANOVA, Kruskal-Wallis test

3. Measurement and Factor analysis

9. Measurement scales, survey design and administration

10. Exploratory factor analysis

11. Confirmatory factor analysis

4. Regression

12. Bivariate and multivariate regression

13. Hierarchical regression

14. Dummy variable regression

15. Moderated and mediated regression

5. Time series analysis

16. Stationarity, autocorrelation, co-integration

17. Vector Autoregression (VAR)

18. Neural networks 6. Panel data models

19. Fixed effect

20. Random effects

Statistical packages

Statistical software SPSS/STATA will be used in the lab session.