Summary
Objectives
The purpose of the present article is to elucidate the opportunities provided by Rasch modelling in epidemiology and public health research in order to evaluate composite measures of health.
Methods
The article gives a review of Rasch modelling in conjunction with illustrative examples based on adolescent survey data.
Results
The article demonstrates how the Rasch-model enables examinations of the way items work across different samples/subgroups, e.g., detection of possible differential item functioning.
Conclusions
It is concluded that Rasch modelling may serve as a useful tool in the evaluation and the development of composite health measures intended to be used in epidemiology and public health research.
Zusammenfassung
Fragestellung
Zweck des vorliegenden Artikels ist es, die Möglichkeiten des Rasch-Modells in der epidemiologischen und Public-Health-Forschung zwecks Auswertung zusammengesetzter Gesundheitsmasse zu erläutern.
Methoden
Der Artikel bietet einen Überblick über das Rasch-Modell in Verbindung mit erläuternden Beispielen, die auf statistischen Daten von Erwachsenen basieren.
Resultate
Der Artikel zeigt, wie das Rasch-Modell die Möglichkeit bietet, die Wirkung einzelner Fragen bei verschiedenen Auswahl-bzw. Untergruppen zu überprüfen, d. h. die Aufdeckung unterschiedlicher Funktionen bei Fragen zu ermöglichen.
Schlussfolgerungen
Als Schlussfolgerung gilt, dass das Rasch-Modell als geeignetes Instrument bei der Auswertung und Entwicklung zusammengesetzter Gesundheitsmasse dienen kann, die in der epidemiologischen und Public-Health-Forschung verwendet werden sollen.
Résumé
Objectifs
L'objectif de cet article est d'éclairer les possibilités offertes par le modèle de Rasch en matière d'épidémiologie et de recherche en santé publique afin d'évaluer des mesures composites de santé.
Méthodes
L'article étudie le modèle de Rasch apartis de données provenant d'études avec les adolescents.
Résultats
Il montre comment le modéle de Rasch permet de comprendre la manière dont les différentes variables fonctionnet dans divers échantillons, c'est à dire de détecter le fonctionnement des écarts éventuels entre les differentes variables.
Conclusions
En conclusion, le modèle de Rasch peut constituer un outil très utile dans l'évaluation et le développement de mesures de santé composites utilisées en épidémiologie ainsi qu'en recherche dans le domaine de la santé publique.
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Hagquist, C. Evaluating composite health measures using Rasch modelling: An illustrative example. Soz Präventivmed 46, 369–378 (2001). https://doi.org/10.1007/BF01321663
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DOI: https://doi.org/10.1007/BF01321663