Six advanced courses
Would you like to improve your data analysis skills or your competences in a specific field? Then start the summer with one or more short, specialised courses at ERIM Summer School. In a group of at most 30 participants, you will be taught by academics who are experts on the subject matter.
Fully taught in English, our courses are open to graduate students (i.e. research master and PhD level), researchers and professionals from the Netherlands and beyond. Upon completing a course, you will receive a certificate indicating the number of European credits (ECTS) earned.
Multilevel Analysis in SPSS
13 & 14 June 2016
by Professor Jeremy Dawson
Multilevel analysis, also known as hierarchical linear modelling or random coefficient modelling, is an increasingly common practice in organisational research, largely due to the nested nature of many data sets (e.g. individuals within teams or organisations). Whereas a few years ago this was only possible to perform in specialist software such as MLwiN or HLM, it is now included in many standard statistical packages, including SPSS.
Necessary Condition Analysis: theory and practice
20 & 21 June 2016
By Professor Jan Dul
Necessary (but not sufficient) conditions are widespread in real life and therefore relevant to various research areas, such as management, business research, sociology, and psychology. But until recently no technique was available to identify necessary conditions in datasets. Traditional (regression based) data analysis techniques fail to do so, even though they are frequently applied for exactly that matter. Necessary Condition Analysis (NCA) is a new technique that can do the job (Dul 2016).
22-24 June 2016
by Professor David Yermack
Students will learn about the roles of shareholders, managers, and boards of directors in the governance of a public corporation. The course should help students identify research topics in an area that has become a focal point for political regulation and reform in Europe and around the world.
Mediation, Moderation, and Conditional Process Modeling
29 June to 1 July 2016
by Dr Ioannis Evangelidis
In this course you will learn how to conduct and interpret the results of mediation, moderation, and conditional process analyses. This course is targeted to any person doing social science research that wants to learn how to test for mediation and moderation in his or her data.
Going beyond data synthesis: Meta-analysis for theory advancement in business and economic research
4 to 6 July 2016
by Professor Marc van Essen
The course aims to teach the development of coding questionnaires, coding of studies and to show how the analysis of the data is done, how conclusions can be drawn and how to present the findings, and thus to give some indications on how to get published in a top management journal. The benefits and limitations of Meta-Analysis are discussed both in theory as well as during the empirical examples.
Panel Data Econometrics: Theory and Practice
6 to 8 July 2016
by Professor Marno Verbeek
The course will provide an insightful and useful elaboration of the state of the art in empirical panel data analysis. Starting from a general introduction, discussing advantages and disadvantages of panel data, static models with fixed effects or random effects, instrumental variables estimators, and robust inference, the course focuses on (micro-economic) dynamic models, where the time dimension is typically limited and the number of cross-sectional units is large.