Levelling up Group

• Levelling Up Statistics
• Basic Economics
• New Social Developments
• Concepts of Social Policy
• Labour Market Policy
• Analytical Demography

Socio Economic Policy Group

• Social Problems and Reforms Seminar
• Social Policy
• Comparative and International Socio-economic Policy

Policy Evaluation Group

• The Policy Cycle
• Evaluation Techniques and Tools

Statistics & Research Group

• Statistics & Research Methods part 1
• Statistics & Research Methods part 2

Master Dissertation

• Master Dissertation

0ptional courses

• Applied Methodology
• Performance audit in social policy

Courses: Statistics & Research Methods - part 1

Teaching Staff

Dr. John Gelissen (Tilburg University, The Netherlands)
Prof. Jacques. Hagenaars (Tilburg University, The Netherlands)

Module 1: Associations between continuous variables (Prof. Gelissen)

Objectives

Dealing with real problems requires the handling of rather complex research designs and data. The aim of this course is to provide the necessary tools for analyzing these data.

Contents

Topics covered in this part are multiple regression analysis, path analysis, reliability analysis and validity, and exploratory factor analysis. Programs that are used are SPSS and PQRS.

Module 2: Research design and regression (Prof. Hagenaars)

Objectives

Dealing with real problems requires the handling of rather complex research designs and data. The aim of this course is to give an insight into the nature of certain kinds of complex designs and corresponding data.

Contents

Continued explanation of Multiple regression analysis: interpretation of coefficients, investigation of assumptions, interactions and dummy variables The second main theme is Causal Analysis. First the concept of causality and causal inferences will be discussed. Next, experimental, quasi-experimental and non-experimental designs will be discussed in the light of making causal inferences. Depending on the level and interests of the group, at the end one or more of the following topics will be chosen: analysis of change, cross-cultural comparisons, multi-level analysis; latent variable models.