QUANTITATIVE AND QUALITATIVE DATA ANALYSIS (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: Develop data preparation method in order to enable dataset ready for further analysis; Discuss selection of preliminary analysis to assess alignment of method with research problem at hand; Distinguish the various ability/module in STATA/NVIVO for appropriate application with desired empirical design; Develop methodological tactics and procedures that will adapt better with problems that arise with research question and data condition; Elaborate data analysis that will improve the coverage and depth of the results.

Topics:

1. Data Preparation and Descriptive Analysis;
2. Sampling, Estimation and Hypothesis Testing;
3. Linear Regression pt 1: Estimation, Inference and Diagnostic;
4. Linear Regression pt 2: CLRM and Specification Issues;
5. Regression Issues with Data Structure;
6. Qualitative Analysis: Design, Tools and Strategy;
7. Qualitative Analysis: Coding, Transcription and Analysis;
8. Cross-case analysis;
9. Data Visualization;
10. Validity and Reliability in Qualitative Research;
11. Enrichment Activity: Quantitative Analysis Consultation;
12. Enrichment Activity: Quantitative Analysis Consultation;
13. Enrichment Activity: GUEST LECTURE;
14. Enrichment Activity: Qualitative Analysis Consultation;
15. Enrichment Activity: Qualitative Analysis Consultation;
16. Enrichment Activity: GUEST LECTURE.