Modelling the pre-assessment learning effects of assessment: evidence in the validity chain

Medical Education 2012: 46: 1087–1098 OBJECTIVES  We previously developed a model of the pre‐assessment learning effects of consequential assessment and started to validate it. The model comprises assessment factors, mechanism factors and learning effects. The purpose of this study was to continue t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Medical education 2012-11, Vol.46 (11), p.1087-1098
Hauptverfasser: Cilliers, Francois J, Schuwirth, Lambert W T, van der Vleuten, Cees P M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Medical Education 2012: 46: 1087–1098 OBJECTIVES  We previously developed a model of the pre‐assessment learning effects of consequential assessment and started to validate it. The model comprises assessment factors, mechanism factors and learning effects. The purpose of this study was to continue the validation process. For stringency, we focused on a subset of assessment factor–learning effect associations that featured least commonly in a baseline qualitative study. Our aims were to determine whether these uncommon associations were operational in a broader but similar population to that in which the model was initially derived. METHODS  A cross‐sectional survey of 361 senior medical students at one medical school was undertaken using a purpose‐made questionnaire based on a grounded theory and comprising pairs of written situational tests. In each pair, the manifestation of an assessment factor was varied. The frequencies at which learning effects were selected were compared for each item pair, using an adjusted alpha to assign significance. The frequencies at which mechanism factors were selected were calculated. RESULTS  There were significant differences in the learning effect selected between the two scenarios of an item pair for 13 of this subset of 21 uncommon associations, even when a p‐value of
ISSN:0308-0110
1365-2923
DOI:10.1111/j.1365-2923.2012.04334.x