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Open Access Evaluating the Effectiveness of Interventions: Exploration of Two Statistical Methods L'évaluation de l'efficacité des interventions : une exploration de deux méthodes statistiques

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Abstract:

Repeated measures designs are often used to evaluate the effectiveness of interventions. In these designs, the outcomes are measured on several occasions before and after implementation of the intervention. Two statistical methods, the repeated measures analysis of variance (RM-ANOVA) and hierarchical linear models (HLM), can be used to analyze the data. The authors provide an overview of the statistical models underlying RM-ANOVA and HLM and discuss the strengths and limitations of each. They propose that the 2 methods are complementary in determining the effectiveness of interventions.

French
La formule de mesures répétées est souvent utilisée pour évaluer l'efficacité des interventions. Selon cette formule, les résultats sont mesurés à plusieurs reprises, soit avant et après la mise en œuvre du plan d'intervention. Les données peuvent être analysées à l'aide de deux méthodes statistiques : l'analyse de la variance fondée sur le mesurage répété (RM-ANOVA) et le modèle linéaire hiérarchique (HLM). Les auteures offrent un aperçu des modèles statistiques propres à la RM-ANOVA et au HLM et discutent des forces et des limites de chacun d'eux tout en suggérant que ces deux méthodes sont complémentaires dans une démarche visant à mesurer l'efficacité des interventions.

Keywords: ANALYSE DE LA VARIANCE; ANALYSIS OF VARIANCE; LINEAR MODELS; LONGITUDINAL STUDIES; NURSING RESEARCH; OUTCOME ASSESSMENT (HEALTH CARE); REGRESSION ANALYSIS; RESEARCH DESIGN; TREATMENT OUTCOME

Document Type: Research Article

Publication date: September 1, 2004

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