dr. J.M.E. Huisman
Statistics 2 [SOBA108A]: Topics in statistical inference, linear (multiple) regression analysis, analysis of variance (to assess model fit), logistic regression, ordinal logistic regression.
Statistics 3 [SOBA114]: Multiple regression, analysis of variance (for the comparison of groups; one-way and two-way, ANCOVA), model building (selection, assumptions, outliers), mediation, moderation.
Advanced Statistics [SOBA323]: Applying regression models (linear and logistic), path analysis, multilevel modeling.
Structural Equation Modeling [GMMSGE06]: Introduction to structural equation models, path analysis and confirmatory and exploratory factor analysis, causal models.
Coordination of Seminar General Statistics: Introduction to various relatively new or specialized statistical methods, with a focus on application.
Program seminars 2020-2021
|17 Dec. 2020||13-14||M.0074||Counterfactual causality and empirically calibrated social simulations|
|18 Feb. 2021||13-14||M.0074||Not yet available|
|17 Mar. 2021||13-14||M.0074||Computerized adaptive testing: in search of the best algorithm|
|15 Apr. 2021||13-14||M.0074||Statistical data visualisation|
|20 May 2021||13-14||M.0074||Not yet available|
|Laatst gewijzigd:||24 september 2020 14:02|