A Sequence Analysis Method. Data that can be expressed as successive states - temporal or not -- of variable length, depending on the subjects, can be described as "sequences". The analysis of such entities should allow for their automatlc classification in categories as homogeneous as possible, but also the most differentiated possible, while allowing for their interpretation via an ideal-type characterization of the categories. Secondly, such an analysis should allow for differentiated weightings of the states and their separations to avoid the null hypothesis of semantic equivalence of all states and all separations. A mathematical model of accumulated density matrices, integrated into a software program, permits us to attain these objectives slmultaneously and, moreover, results in a method of colored graphic representation of categories of sequences. The data used in this example come from research on the professional trajectories of 520 continuing-education teachers which used an earlier version of this method.
Dubus, A., 1984. - "Arrêt sur méthodologie, la construction d'itinéraires", Cahiers de l'Animation44-45.
6.
Dubus, A., 1992. - Méthodes & pratique du traitement statistique en Sciences Humaines, avec le logiciel Adso. Lille, Les Trois Monts.
7.
Dubus, A., 1998a. - Adso 3.20, logiciel et Mode d'emploi. Lille, Presses Universitaires du Septentrion .
8.
Dubus, A., 1998b. - Méthodes et pratiques du traitement statistique en Sciences Humaines. Etude de cas avec Adso3. Lille, Presses Universitaires du Septentrion.
9.
Dubus, A., 1999a. - ASEQ, logiciel d'analyse de séquences [bétaversion 1.0], disponible auprès de l'auteur .
10.
Dubus, A., 1999b. - ASEQ, Mode d'emploi provisoire, polycopié, disponible auprès de l'auteur.
