Data · dataset · 2005
Is Student Evaluation of Teaching Performance Effective?
Listed in Harvard Dataverse
Student ratings were analyzed in relation to individual- and class-level factors in a sample of about 5400 students in 168 classes in order to examine the relative importance of individual- and class-level factors in the determination of student evaluation of teaching quality.
Description
Hierarchical linear models showed that individual measures accounted for most of the variance. Prior interest and expected grade were the preponderant influence on students’ ratings.
In terms of level-2 variables, the effect of class size, professor’s gender, and rank on level-1 variables was weak and insignificant. Because class-level variation was large (30% and 38%), other contextual factors should be explored in future studies of student evaluation of teaching effectiveness and multilevel analyses.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E90082-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e90082-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E90082-1 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |