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Longitudinal K-sets analysis using lagged variables.

Catrien C. J. H. Bijleveld, Eeke Van der Burg (1993)

Qüestiió

We present an application of nonlinear Generalised Canonical Analysis (GCA) for analysing longitudinal data. The application uses lagged versions of variables to accomodate the time-dependence in the measurements. The usefulness of the proposed method is illustrated in an example from developmental psychology, in which we explore the relationship between mother and child dyadic interaction during the first six months after birth, demonstrating how child behaviour can elicit mother behaviour. We...

Measuring association via lack of co-monotonicity: the LOC index and a problem of educational assessment

Danang Teguh Qoyyimi, Ricardas Zitikis (2015)

Dependence Modeling

Measuring association, or the lack of it, between variables plays an important role in a variety of research areas, including education,which is of our primary interest in this paper. Given, for example, student marks on several study subjects, we may for a number of reasons be interested in measuring the lack of comonotonicity (LOC) between the marks, which rarely follow monotone, let alone linear, patterns. For this purpose, in this paperwe explore a novel approach based on a LOCindex,which is...

Méthodes d'étude de l'adéquation au modèle logistique à un paramètre (modèle de Rasch)

André Flieller (1994)

Mathématiques et Sciences Humaines

Le modèle de Rasch, ou modèle logistique de réponse à l'item à un paramètre, constitue une avancée méthodologique importante, mais l'étude de l'adéquation de données empiriques à ce modèle ne va pas sans problème. Après une brève présentation du modèle de Rasch, l'article discute certains problèmes généraux rencontrés dans les études d'adéquation. Vingt-quatre tests d'adéquation, graphiques et statistiques sont ensuite présentés et évalués. La nécessité d'employer plusieurs méthodes d'évaluation...

Reliability in the Rasch model

Patrícia Martinková, Karel Zvára (2007)

Kybernetika

This paper deals with the reliability of composite measurement consisting of true-false items obeying the Rasch model. A definition of reliability in the Rasch model is proposed and the connection to the classical definition of reliability is shown. As a modification of the classical estimator Cronbach's alpha, a new estimator logistic alpha is proposed. Finally, the properties of the new estimator are studied via simulations in the Rasch model.

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