Prospectus | 08/09 - Psychology and Neuroscience - Maastricht ...
Prospectus | 08/09 - Psychology and Neuroscience - Maastricht ...
Prospectus | 08/09 - Psychology and Neuroscience - Maastricht ...
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Chapter 3 - Specialization Fundamental <strong>Neuroscience</strong><br />
Literature<br />
For each unit we will use the h<strong>and</strong>out of the lecture plus a suitable book chapter<br />
or article. Details of these will be provided on EleUM. Howell (2007), Fox (1997) <strong>and</strong><br />
Kleinbaum (1998) give a fair impression of the content <strong>and</strong> level of Part 1 of the course.<br />
References<br />
• Fox, J. (1997). Applied regression analysis, linear models, <strong>and</strong> related methods. Thous<strong>and</strong><br />
Oaks (CA): Sage;<br />
• Howell, D.C. (2007). Statistical methods for psychology (6 th Ed.). Belmont (CA):<br />
Thomson/Wadsworth;<br />
• Kleinbaum, D.G., Kupper, L.L., Muller, K.E., & Nizam, A. (1998). Applied regression analysis<br />
<strong>and</strong> other multivariable methods (3rd Ed.). Pacific Grove (CA): Brooks/Cole.<br />
53<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.