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| PEDA0062-1 | Evaluating school learning
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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 mainly focusses on the methodology of international surveys in education on student achievement. Two statistical tools will be investigated: the Item Response Models, and in particular the Rasch model and the multi level regression analyses |
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Learning outcomes of the course :
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| Students have to demonstrate their capabilities to :
1. Scale cognitive or contextual data with Item Response Models and in particular (i) calibrate items (ii) compute student point estimates (MLE, WLE), generate plausible values with some conditionning variables, (iii) conduct Differential Item Functioning analyses and (iv) anchor new data on existing scales for the computation of trends indicators. These analyses will be conducted with Conquest software.
2. Conduct multi-level regression analyses with fix and random effects. Execises will be conducted on the student version of HLM.
3. Read and understand scientific papers that present a multi-level analysis. 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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| The course consists of theory and pratices on Conquest and HLM |
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Mode of delivery (face-to-face ; distance-learning) :
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| Seminar, group works, individual works and talks |
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Recommended or required readings :
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| Snijders, T. & Bosker, R. (1999). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling. Sage publications |
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Assessment methods and criteria :
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| Students will have to write a report (+/- 20 pages) on analyses conducted with Conquest or with HLM on their own data, or on data from PISA or IEA TIMSS or PIRLS databases. They will therefore have to define a research question |
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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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