Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Ratio de Validité de Contenu× | Analyse factorielle pour le développement d'échelles× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1975 | 1947 |
| Auteur d'origine≠ | Charles H. Lawshe | Louis Thurstone |
| Type≠ | Expert panel content validity assessment | Exploratory factor analysis methodology |
| Source fondatrice≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. link ↗ | Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557 |
| Alias≠ | CVR, Content validity index, Expert judgment content validity, Lawshe CVR | Exploratory factor analysis, EFA for scale development, Factorial structure analysis |
| Apparentées≠ | 4 | 5 |
| Résumé≠ | The Content Validity Ratio (CVR) is a quantitative method developed by Charles Lawshe in 1975 for evaluating the extent to which items in a measurement instrument are relevant and representative of a target construct. The method aggregates expert panel judgments into a single validity coefficient for each item, enabling researchers to identify and retain only those items deemed essential by domain experts. CVR provides objective support for content validity claims during scale development. | Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors. |
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