Statistical preparation for the defense of dissertations, doctoral theses
For many students, defending a dissertation or doctoral thesis is one of the most important exams of their lives. It is often not only important to have a deep understanding of your own research area, but also to have statistical knowledge and skills in order to appropriately present and defend your own results.
This is where statistical consulting and data analysis Leonardo Miljko comes into play. With a wide range of services and many years of experience, the company supports doctoral students, research assistants and supervisors in preparing for their defense.
Regardless of whether it is tutoring for statistical basics such as distributions, probability calculations, test theory and test power or special methods such as ANOVA, MANOVA, regression analysis, moderator analysis, ANOVA with repeated measures, mediator analysis, Cox regression, survival time analysis, stochastic modeling, path analysis, factor analysis or time series – Leonardo Miljko is available to provide students with advice and support.
We attach importance to individual and needs-based advice. Statistical consulting and data analysis Leonardo Miljko offers help with data analysis with IBM SPSS, IBM AMOS and MS Excel and supports the interpretation of the results and their adequate presentation.
With Leonardo Miljko, statistical consulting and data analysis, students have a competent partner at their side to prepare and successfully master their own defense in the best possible way.
Keywords:
Statistical consulting, data analysis, Leonardo Miljko, dissertation, doctoral thesis, IBM SPSS, IBM AMOS, MS Excel, ANOVA, regression analysis, path analysis, factor analysis
Metatext:
Statistical advice and data analysis Leonardo Miljko supports doctoral students and research assistants in preparing for the defense of their dissertation or doctoral thesis. A successful defense is made possible with individual advice and help with data analysis using IBM SPSS, IBM AMOS and MS Excel as well as a wide range of statistical methods such as ANOVA, regression analysis, path analysis and factor analysis.
"Source used: ChatGPT"
