Julius Babyetsiza

Late last year I completed my Doctorate Degree studies in Entrepreneurship and Innovation from Atlantic International University AIU and “Quantitative data analysis in research” was one of the courses of the Degree’s programme structure, which I passed with an excellent mark attributably to my under and post graduate degrees having been in Economics with statistics. However, I also passed all the other courses in the Doctorate Degree programme structure with excellent marks – see the tentative transcript in the Curriculum Vitae. While I am waiting for this year’s AIU’s graduation, when I will receive my official academic documents, I am eager to work.
The Doctorate Degree’s research methodology’s Quantitative data analysis focus was on practical issues, including: preparing data for analysis; using SPSS, Stata and Genstat; and presenting results. Topics were covered include testing mediating and moderating hypotheses, quadratic and log linear regressions, ANOVA and MANOVA, etc.