Agenda
Multivariate Regression Analysis
Determination of a formula that can describe how elements in a vector of variables respond simultaneously to changes in others.
Multivariate Analysis of Variance (ANOVA and MANOVA)
Comparing multivariate means of several groups using the variance-covariance between variables in testing the statistical significance of the mean differences.
Discriminant Analysis
Examination whether a set of variables can be used to distinguish between two or more groups of cases.
Logistic Regression
Prediction of the outcome of a categorical dependent variable based on one or more predictor variables.
Factor Analysis
Extraction of a specified number of synthetic variables (latent variables or factors), fewer than the original set, leaving the remaining unexplained variation as error.
Clustering
Assignment of objects into groups (clusters) so that objects (cases) from the same cluster are more similar to each other than objects from different clusters.
Trainer
Marco Skulschus (born in Germany in 1978) studied economics in Wuppertal (Germany) and Paris (France) and wrote his master´s thesis about semantic data modeling. He started working as a lecturer and consultant in 2002.
Publications
- Grundlagen empirische Sozialforschung ISBN 978-3-939701-23-1
- System und Systematik von Fragebögen ISBN 978-3-939701-26-2
- Oracle PL/SQL ISBN 978-3-939701-40-8
- MS SQL Server - T-SQL Programmierung und Abfragen ISBN 978-3-939701-69-9
Projects
- He works as an IT-consultant and project manager. He developed various Business Intelligence systems for industry clients and the public sector. For several years now, he is responsible for a BI-team in India which is mainly involved in BI and OLAP projects, reporting systems as well as statistical analysis and Data Mining.
Research
He led several research projects and was leading scientist and project manager of a publicly funded project about interactive questionnaires and online surveys.