| Titre : | Further evidence of the invalidity of the magnitude estimation method (2021) |
| Titre original: | Autres preuves de l’invalidité de la méthode d’estimation de la grandeur |
| Auteurs : | Sergio C. Masin ; David J. Weiss ; Andrea Brancaccio |
| Type de document : | Article |
| Dans : | European Review of Applied Psychology (Vol. 71, n° 5, September 2021) |
| Article en page(s) : | 5 p. |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci EvaluationAutres descripteurs Approche factorielle ; Estimation |
| Mots-clés: | Évaluation graphique ; Estimation de la grandeur ; Estimation du rapport ; Courbes factorielles |
| Résumé : |
Introduction
The magnitude estimation method is widely applied in diverse areas of psychology. However, Weiss (1972) found that this method may produce judgments that inaccurately represent subjective magnitudes: constructing the stimuli according to a factorial design allowed the bias caused by magnitude estimation to be exposed as a spurious divergence of factorial curves. Objective The present study experimentally compared magnitude estimation with graphic rating and ratio estimation. The comparison of magnitude estimation with graphic rating retested Weiss's finding. The comparison of magnitude estimation with ratio estimation explored the hypothesis that magnitude estimation may cause a divergence of factorial curves due to the requirement of magnitude estimation to multiply and divide numbers—both ratio estimation and magnitude estimation required participants to judge ratios, but only magnitude estimation required mental multiplication and division. Method Using a 3 × 4 factorial experimental design, an achromatic disk was presented concentrically with a larger achromatic square. The brightness of the disk varied with the luminance of the disk and, due to simultaneous contrast, with the luminance of the square. Three different groups of participants judged the brightness of the disk: one group by graphic rating, another by ratio estimation, and the third by magnitude estimation. Results In accord with Weiss's results, graphic rating yielded roughly parallel factorial curves whereas magnitude estimation yielded diverging factorial curves. Ratio estimation also yielded roughly parallel factorial curves, supporting the hypothesis that the magnitude estimation task itself may cause divergence of factorial curves due to the requirement of this method to mentally multiply and divide numbers. Conclusion Caution should be taken in using magnitude estimation, especially in factorial experiments, because this method is likely to cause the researcher to make incorrect inferences about the functional relations between the variables involved in mental information integration. Ratio estimation yields a pattern of factorial curves essentially equivalent to that obtained by graphic rating. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S116290882100027X |
Bibliothèques HE Vinci
