Auto-formation à SPSS
UNIL | Université de LausannePar Pascal Singy et Isaac Pante: Faute d'une formation en statistique, les étudiants en sciences humaines ont parfois tendance à buter sur les résultats chiffrés des études qu'ils consultent. Une formation complète en statistique n'étant pas toujours envisageable, ce cours vise à délivrer les connaissances nécessaires et suffisantes pour interpréter et produire, sous SPSS, les analyses statistique... more
| Publishes | Daily | Episodes | 17 | Founded | 12 years ago |
|---|---|---|---|---|---|
| Language |  French | Categories | EducationCourses | ||
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Présentation du cours par Pascal Singy, professeur associé de sociolinguistique en Faculté de Biologie et de Médecine et Isaac Pante, Chargé de cours en sociolinguistique et informatique en Faculté des Lettres.
Toutes les leçons partagent une logique commune. Cette leçon détaille leur structure et survole les matières étudiées.
Les variables sont indispensables en statistique. Cette leçon présente les différents types de variables existants et le vocabulaire qui leur est associé.
La saisie de données sous SPSS dépasse le simple tableur. Cette leçon montre comment créer un jeu de données, ajouter des informations sur nos variables et gérer les cas particuliers.
Certains traitements statistiques supposent une utilisation sélective de nos données. Les techniques de sélection font l'objet de cette leçon.
Dans certains cas, la seule sélection des données ne suffit pas et un recodage s'impose. Les techniques de transformation font l'objet de cette leçon.
Il est temps de passer à la pratique! Voici un exercice destiné à récapituler les notions acquises jusqu'à présent.
Vos données saisies sous SPSS, nous pouvons les décrire. Les distributions, les indicateurs de tendance centrale et de dispersion présentés dans cette leçon vont nous y aider.
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