Module 10: Multilevel Analysis for Grouped and Longitudinal Data

Type of Course - Dates - Venue - Description - Target audience - Exam - IMPORTANT: Incorporation in DTP and reimbursement by DS
Course prerequisites - Teacher - Course material - Book recommendations - Fees - Enrol


Type of course

Due to the safety restrictions issued by UGent concerning the corona crisis this is an online course.


Three consecutive full days during the Easter Holiday: Wednesday April 7, Thursday April 8 and Friday April 9, 2021 from 9 am till 4 pm.
Please note: the deadline for UGent PhD students who want a refund to open a dossier on the DS website (Application for Recognition) is March 5, 2021.


Online course


Social research often concerns relationships between individuals and the social contexts to which they belong. This can be conceptualized as a hierarchical structure, with individuals nested within groups.

Classical examples are educational research, with pupils nested within schools, and cross-national research, with individuals nested within their national units. They involve two level data: group level and individual level variables.

We need multilevel modeling to study the relationships between variables observed at different levels in the hierarchical structure.

This can also cover longitudinal research, by viewing measurement occasions as nested within respondents, and extends to situations where data have a more complex multilevel structure, such as cross-classified data or multiple-membership models.

This short course is intended as a basic and nontechnical introduction to multilevel analysis.

It starts with a description of some examples, and shows why multilevel models are necessary if the data have a hierarchical structure. It then covers the basic theory of two- and three-level models.

Next it explains how multilevel models can be applied to analyzing longitudinal data, and why and when this may be an attractive analysis approach, as compared to more classical analysis methods such as multivariate analysis of variance (Manova).

The cou​rse includes three computer labs, where multigroup and longitudinal data are analyzed. The computer labs in the course use the multilevel program HLM ​as a didactic analysis tool in combination with SPSS​, a free environment for statistical computing and graphics.

Target audience

This course targets professionals and investigators from diverse areas ranging from researchers in the behavioral and social sciences to whoever deals with data with a hierarchical or multilevel structure.


Participants can, if they wish, take part in an exam. Upon succeeding in this test a certificate from Ghent University will be issued to participants with a university degree at the bachelor level or an equivalent degree.
Please note: For UGent PhD students it is no longer necessary to succeed in this exam to be able to incorporate the course in the DTP.

Incorporation in DTP and reimbursement from DS for UGent PhD students

As a UGent PhD student, to be able to incorporate this 'specialist course' in your Doctoral Training Program (DTP) and get a reimbursement of the registration fee from your Doctoral School (DS) you need to follow strict rules: please take the necessary action in time. The deadline to open a dossier on the DS website (Application for Recognition) for this course is March 5, 2021.

Course prerequisites

The course assumes reasonable familiarity with analysis of variance and multiple regression analysis, but prior knowledge of multilevel modeling is not assumed.


Foto Leoniek Wijngaards-de MeijProf. dr. Leoniek Wijngaards-de Meij is Professor in Applied Statistics at the Department of Methodology and Statistics of the Faculty of Social Sciences at Utrecht University, the Netherlands. She received a Master in Clinical Psychology and a PhD in Dyadic processes of parents grieving their child in Clinical Psychology at Utrecht University.

She has worked as statistical consultant on multilevel analysis for numerous social science research projects.

She has been teaching courses on Multilevel Analysis on both Graduate and Undergraduate level. These courses include Multilevel for Research Masters, ML Minor courses and a Multilevel Summer School at Utrecht University, and PhD courses for several institutes including the KLI (Research Institute for Social Psychology), the EPP (Research Institute for PsychoPathology) and the Erasmus University.

Course material

Copies of course notes.

Book recommendations

The course is based on: J.J. Hox and M. Moerbeek (2017), "Multilevel Analysis. Techniques and Applications", 3rd edition, New York: Routledge, ISBN 978-1138121362. Those who wish to explore this topic further after the course can order it online or at their local book store. Please note that you do not need a copy of this book to follow the course.


A different price applies, depending on your main type of employment.

Employment Module 10 Exam
Private sector/Industry1 1.080 30
Non-profit, government, university outside AUGent2 445 30
(Doctoral)student outside AUGent2 315 30

1 If three or more employees from the same company enrol simultaneously for this course a reduction of 10% on the module price is taken into account.

2 AUGent-personnel and AUGent doctoral students who pay through use of an SAP internal order/invoice can participate at these special rates.

Enrol for this course