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| Version 2011-2012 |
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| STAT0806-3 | Multivariate methods applied to statistical data in criminology and social science, Second Part : Mutivariate methods applied to data analysis in social science and SAS programming
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| Duration : | 30h Th |
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| Number of credits : |
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| Lecturer : | Henri Born |
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Language(s) of instruction :
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| French language |
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Course contents :
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| How to summary in statistics
a. Typology of variables and measures
b. Sample and sampling distributions
I. Regression
a. The simple linear model
b. Least squares
c. The fitted model
d. The multiregression model
e. Variance analysis
II. Advanced Regression
a. Logistic regression
b. Logit and probit
c. Loglin
III. Mulitivariate reduction methods
a. Principal components
b. Correspondance analysis
IV. Clustering
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Learning outcomes of the course :
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| Learning and practice of the main multivariate methods in data analysis
Understanding statistical results |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| SAS Language
Introductory course in Statistics |
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Planned learning activities and teaching methods :
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Mode of delivery (face-to-face ; distance-learning) :
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| Works to be done by groups |
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Recommended or required readings :
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| Modélisation statistique appliquée aux sciences sociales
Pascal BRESSOUX, de boeck, 2010 |
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Assessment methods and criteria :
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Training(s) :
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Organizational remarks :
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Contacts :
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| Instructor:
H. BORN
hborn@ulg.ac.be |
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| Items online : |
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| VirtualCampus |
| Main e-learning tools have to be used by students |
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