Master students Methodology and Statistics.
In this course a variety of multivariate analysis models will be discussed. Prior to the selection of the appropriate model some common problems will be dealt with. For instance: how to check assumptions, what to do if assumptions are wrong, how to deal with missing data, what to do with outliers? Furthermore: are relationships between variables linear or not? Are variables normally distributed and does transformation of the variables lead to more optimal statistical tests? Besides this “cleaning up” the data, selection of the appropriate model plays an important role in this course. Related to this model selection measures of effect size will be discussed. Analyses which will be discussed are: Multiple regression analysis, categorical data analysis, multivariate analysis of variances and covariances, discriminant analysis, survival analysis.
All statistical analyses will be carried out by the computer package SPSS.
acquire knowledge of, and insight into, the principles of relevant modern multivariate techniques
acquire knowledge of, and insight into, practical competence with respect to analyzing data with multivariate methods
Applied Multivariate Analysis (2010-2011):
Mode of instruction
Lectures and lab sessions.
Graded assignments during course and 1 final take home assignment.
From January 1, 2006 the Faculty of Social Sciences has instituted the Ephorus system to be used by instructors for the systematic detection of plagiarism in students’ written work. Please see the information concerning fraud .
Information on blackboard.leidenuniv.nl
Tabachnick, B.G. and Fidell, L.S. (2007). Using Multivariate Statistics. Boston: Allyn and Bacon. Fifth Edition
Berry, W.D. (1993). Understanding Regression Assumptions. Newbury Park: Sage publications.
Introduction and enrolment for courses of the first semester will take place on 2 september 2010. Introduction and enrolment for courses of the second semester will take place on 27 January 2011. More information will be available at the website of the Institute of Psychology.
NB: Exam registration will take place via uSis, and will be open between a month and a week before the (re)exam. Students who haven’t registered, cannot participate in the exam.
Prof.dr. A. Mooijaart
Tel.: +31 (0)71 527 3770