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Prospectus | 08/09 - Psychology and Neuroscience - Maastricht ...

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<strong>Prospectus</strong> Research Master <strong>Psychology</strong> 20<strong>08</strong> • 20<strong>09</strong><br />

• Kleinbaum, D.G., Kupper, L.L., Muller, K.E., & Nizam, A. (1998). Applied regression<br />

analysis <strong>and</strong> other multivariable methods (3rd Ed.). Pacific Grove (CA): Brooks/Cole.<br />

102<br />

Practical training<br />

Each course unit includes a computer practical. The assignment (e.g., analysis of real<br />

data with SPSS) is discussed in a plenary meeting after the practical. Attendance at<br />

practicals <strong>and</strong> discussion meetings is m<strong>and</strong>atory (with 100% <strong>and</strong> 85% attendance rule,<br />

respectively).<br />

Instructional Approach<br />

Meetings are arranged into units, consisting of lectures, self tuition sessions, computer<br />

exercises, <strong>and</strong> plenary discussions.<br />

Form of Assessment<br />

Open book, multiple choice exam consisting of questions resembling the exercises<br />

(general theory, some elementary computations, <strong>and</strong> interpretation of computer<br />

output).<br />

| 407RM Advanced Statistics II – 3 credits<br />

Coordinator: Gerard van Breukelen, Methodology <strong>and</strong> Statistics (FPN), Phone 38 84001,<br />

40 Universiteitssingel East, Room 5.750, E-mail: gerard.vbreukelen@stat.unimaas.nl<br />

Description of the Course<br />

Throughout the course, the General Linear Model will serve as a continuous thread.<br />

During the second semester, five units give an introduction to two advanced methods<br />

of analysis that are becoming increasingly important in psychological research. The first<br />

three units are devoted to mixed (multilevel) linear regression for nested designs <strong>and</strong><br />

longitudinal studies, starting with so-called marginal models for repeated measures as<br />

a flexible alternative to repeated measures ANOVA in case of missing data or withinsubject<br />

covariates, <strong>and</strong> ending with r<strong>and</strong>om effects models for repeated measures<br />

<strong>and</strong> nested designs. Structural equation modelling (SEM, sometimes called LISREL) is<br />

covered by two units, with an emphasis on causal modelling in nonr<strong>and</strong>omized studies.<br />

Finally, the topic of optimal design <strong>and</strong> sample size is introduced in a sixth unit.<br />

Literature<br />

For each unit we will use the h<strong>and</strong>out of the lecture plus a suitable book chapter or<br />

article. Details of these will be provided on EleUM.<br />

Practical training<br />

Each course unit includes a computer practical. The assignment (e.g., analysis of<br />

real data with SPSS or LISREL) is discussed in a plenary meeting after the practical.<br />

Attendance at practicals <strong>and</strong> discussion meetings is m<strong>and</strong>atory (with 100% <strong>and</strong> 85%<br />

attendance rule, respectively).

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