| PEDA4053-1 | |||||
| Exploitation of international surveys databases | |||||
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Duration :
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| 20h Th, 20h Pr | |||||
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Number of credits :
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Lecturer :
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| Christian Monseur | |||||
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Language(s) of instruction :
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| French language | |||||
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Organisation and examination :
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| Teaching in the first semester, review in January | |||||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | |||||
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Learning unit contents :
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| This lecture aims at initiating students to conduct statitistical analyses with SAS software on databases of international surveys in education on achievement such as the OECD/PISA or IEA/TIMSS & PIRLS programs | |||||
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Learning outcomes of the learning unit :
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| Students will have to demonstrate their capabilities to :
1. Create and modify data files ; 2. Merge files; 3. Conduct differents types of statistical analyses: linear and non linear regresion, multi-level regression with fix and random effects, logistic regression, correlation, effect size and relative risk analyses ; 4. Estimate the sampling variance with resampling methods |
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Prerequisite knowledge and skills :
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| Deep understanding of the statistical tools listed in the "Learning outcomes" section | |||||
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Planned learning activities and teaching methods :
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| Lecture, seminar and groups and individual works | |||||
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Mode of delivery (face-to-face ; distance-learning) :
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| Face to face required | |||||
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Recommended or required readings :
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| OECD (2007). PISA Data Analysis Manual, SAS second edition. Paris : OECD. | |||||
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Assessment methods and criteria :
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| Students will have to conduct statistical analyses that involves data transformations and the use of a macro for the estimation of the sampling variance | |||||
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Work placement(s) :
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Organizational remarks :
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| None | |||||
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Contacts :
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| Christian Monseur
++ 32 4 358 05 84 cmonseur@ulg.ac.be |
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