Being able to teach data analysis to doctoral students and research assistants

Advice covers a wide range of topics, from the basics of descriptive and exploratory statistics to inductive statistics and probability calculations. The disciplines covered are econometrics, psychology, empirical social research, biometrics, epidemiology, clinical biology, chemistry, geology, meteorology, health management, sports science, medicine, psychology, sociology and economics.

The advice also includes the choice of test procedure and the checking of assumptions such as the normal distribution assumption. Typical difficulties faced by students are discussed and tips are given for competent support and illustration of research questions.

Leonardo Miljko also offers help with data analysis using SPSS, AMOS and Excel. Typical topics include distribution functions, Kendall's concordance analysis, normal distribution, central limit theorem, optimal sample size, test statistics, regression, multilinear regression, crosstabs, rank correlation (Kendall Tau), correlation analysis, and analysis of variance.

Data analysis is an important part of the research process and Leonardo Miljko can help master it. Advice and support enable doctoral students and research assistants to carry out solid and reliable analyses.

Keywords:
Data analysis, statistical consulting, SPSS, AMOS, Excel, normal distribution, testing procedures, regression, correlation analysis, analysis of variance

Metatext:
Statistical consulting and data analysis Leonardo Miljko offers support in data analysis using SPSS, AMOS and Excel.

"Source used: ChatGPT"