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About usHow to find usdr. J.M.E. (Mark) Huisman

dr. J.M.E. Huisman

Universitair Docent

Bachelor Sociology - Teaching

Statistics 2 [SOBA108A]: Topics in Statistical Inference, Linear (Multiple) Regression Analysis, Analysis of Variance (to assess model fit), Logistic regression, Nonparametric Tests.

Statistics 3 [SOBA114]: Multiple Regression, Analysis of Variance (for the comparison of groups; One-Way and Two-Way), Logistic Regression, Ordinal Logistic Regression, Application of Statistical Models.

Advanced Statistics [SOBA323]: Building regression models (linear and logistic), path analysis, multilevel modeling.

Bachelor Sociology - Coordination

Statistics 1 [SOBA105C]: Descriptive statistics and introduction to statistical inference.

Research Master - Teaching

Structural Equation Modeling [GMMSGE06]: Introduction to structural equation models, path analysis and confirmatory factor analysis.

Applied Statistics [GMMSGE28]: Principles of statistical design and analysis by practical applications (using R) to real data sets, both from experimental and observational studies.

Research Master - Coordination

Seminar General Statistics: Introduction to various relatively new or specialized statistical methods, with a focus on application.

Date Time Room Topic
17 Oct. 2018 11-12 Hv.0406 Penalized regression in prediction models
23 Nov. 2018 10-11 B.0126 Basic ideas of bootstrapping
21 Dec. 2018 10-11 B.0126 Discrete choice models
23 Jan. 2019 11-12 Hv.0406 Improving test and questionnaire construction through IRT
22 Feb. 2019 10-11 B.0126 Multidimensional cumputerized adaptive testing
22 Mar. 2019 10-11 B.0126 Statistical assumptions
09 May 2019 10-11 Hv.0407 Topics in logistic regression
22 May 2019 11-12 Hv.0407 Time series models for N=1
Laatst gewijzigd:15 april 2019 16:22

Contact information

Grote Rozenstraat 31
9712 TG Groningen
The Netherlands


Working hours:
Monday - Thursday: 9.00-17.30