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| PEDA0051-2 | Multivariate analysis for complex sampling designs
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| Duration : | 30h Th, 30h Pr |
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| Number of credits : |
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| Lecturer : | Christian Monseur |
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Language(s) of instruction :
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| French language |
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Course contents :
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| This course aims at initiating students to:
1. complex sample designs and resampling methods for estimating sampling variance;
2. multi level analyses. |
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Learning outcomes of the course :
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| Students have to demonstrate their capabilities to :
1. Elaborate a sample design that (i) minimize the sampling variance and the data collection costs and (ii) is appropriate to collect data for answering the reasearch questions.
2.Analyse data for detecting potential bias due to non-response and compute a non- response adjustment for minimizing the bias;
3. Compute replicate weights for estimating the sampling variance.
4. Conduct multi-level regression analyses with fix and random effects. Exercises will be conducted on the student version of HLM;
5. Read and understand scientific papers that present multi-level analyses. A folder of scientific papers will therefore be provided to the students. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Linear regression analysis |
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Planned learning activities and teaching methods :
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| Group works, individual works, seminars and talks |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face to face |
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Recommended or required readings :
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| None |
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Assessment methods and criteria :
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| Students will have to:
1. draw a sample according to the research question that minimize the sampling variance;
2. test given hypotheses with mult-level analyses. |
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Training(s) :
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| None |
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Organizational remarks :
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| None |
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Contacts :
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| Christian Monseur
++ 32 4 366 20 95
cmonseur@ulg.ac.be |
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