Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
2 credits
15.0 h
Q1
Teacher(s)
Penta Massimo;
Language
French
Prerequisites
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Content
The workshop introduces the analysis of quantitive data with the Rasch model. The workshop relies on the theory of measurement with the Rasch model. The students will analyze a dataset using dedicated software (including R) , in complement to articles reading, aiming to interpret person responses to a questionnaire using the Rasch model. The topics addressed during the workshop include reliability indices, unidimensionality, fit statistics, differential item functioning, rating scale analysis.
Teaching methods
Small group workshop
Evaluation methods
Report on the analysis of a dataset.
Other information
Workshop will take place on Fridays (afternoon or whole day) 1st or 2nd semester. Hours TBA.
Online resources
Data, scripts and texts available through Moodle
Teaching materials
- LPSYS2144 - Analyse de données : modèles de mesure
Faculty or entity
EPSY
