Quantitative analysis of qualitative data

Young, Forrest W.

doi:10.1007/bf02293796

Cited by 260 publications

(130 citation statements)

References 24 publications

Supporting

Mentioning

110

Contrasting

Unclassified

Order By: Relevance

“…Each measurement type involves its own measurement characteristics, and restrictions (refer to Young, 1981). The proposed nonlinear GSCA can accommodate all six types of measurement through the adoption of optimal scaling.…”

Section: Nonlinear Generalized Structured Component Analysismentioning

confidence: 99%

“…In particular, the proposed method seeks to handle qualitative data through a certain type of data transformation called optimal scaling (cf. Bock, 1960;Gifi, 1990;Young, 1981). Optimal scaling generally represents the procedure of quantifying qualitative data through assigning numerical values to qualitative data such that the association between the data and the model is maximized while strictly maintaining the measurement characteristics of the data (Bock, 1960).…”

Section: Introductionmentioning

confidence: 99%

“…For a continuous-ordinal variable, T j is iteratively constructed by Kruskal's (1964) primary monotonic transformation in order to assure the order restriction that observations should be order-preserving and tied observations become untied. Young (1981) provides detailed examples on the construction of T j for different measurement types. The updated s j is subsequently normalized to satisfy s j s j = 1.…”

Section: Nonlinear Generalized Structured Component Analysismentioning

confidence: 99%

See 2 more Smart Citations

Nonlinear Generalized Structured Component Analysis

Hwang

Takane

2010

Behaviormetrika

View full text Add to dashboard Cite

Section: Nonlinear Generalized Structured Component Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Nonlinear Generalized Structured Component Analysismentioning

confidence: 99%

See 1 more Smart Citation

Nonlinear Generalized Structured Component Analysis

Hwang

Takane

2010

Behaviormetrika

View full text Add to dashboard Cite

“…Ici aussi, la logique qui a prévalu est simple: à métrique équivalente on peut comparer le degré de dissimilarité ou de «distance» entre des paires de variables, cette distance étant un indice stable du degré d'indépendance des variables (Young, 1981 ;Young et Hamer, 1987 En ce qui concerne les sujets de la recherche FCAR, on constate un maximum de dissimilarités entre les indices de recours aux méthodes d'interstructuration cognitive (MIE 4), d'une part, et les pratiques des méthodes d'hétérostructuration cognitive de type traditionnel (MIE 1), d'autostructuration cognitive (MIE 2) ainsi que d'hétérostructuration cognitive de type coactif (MIE 3), d'autre part. Le calcul du t de Student n'indique aucune différence significative entre les scores moyens des deux échantillons à la mesure effectuée par rapport à l'échelle de MIE 4.…”

Section: Résultats Obtenus Au Test T De Studentunclassified

La formation continue d’enseignants du primaire à des pratiques interdisciplinaires : résultats de recherches

Larose

Lenoir²

2007

rse

View full text Add to dashboard Cite

L'article présente les résultats d'une recherche-action-formation sur les pratiques interdisciplinaires menée en formation continue d'enseignants oeuvrant dans le système scolaire québécois au primaire. Pour contextualiser ces résultats et mettre en relief ses apports vis-à-vis de la formation, leurs auteurs intègrent des données provenant de recherches menées depuis 1990 sur l'interdisciplinarité dans l'enseignement primaire québécois. Les résultats montrent qu'une formation longitudinale comprenant une participation active des sujets les conduit à clarifier les concepts en jeu, à établir des distinctions entre la pratique interdisciplinaire et ses fondements, à appréhender la spécificité de l'interdisciplinarité aux niveaux curriculaire, didactique et pédagogique, et à en concevoir l'utilisation pour soutenir une intégration des processus d'apprentissage et des savoirs chez les élèves.This article presents the results of a training action research regarding the interdisciplinary practices in inservice teacher training of Quebec primary teachers. The article presents data from earlier studies, from 1990, in the field of interdisciplinarity in Quebec primary education in order to better contextualize the current study and its impact on training. The results show that longitudinal training which includes active student participation leads students to clarify those concepts being examined, to establish distinctions between interdisciplinary practices and the theoretical foundations, to understand the specificity of interdisciplinarity as it is applied to the curriculum, to didactics, and to pedagogy and, finally, to conceptualize the use of interdisciplinarity to support an integration of learning processes and of knowledge for their students.Este articulo présenta los resultados de una investigaciôn-accion-formacion sobre las prâcticas interdisciplinarias llevadas a cabo en formacion continua de docentes que trabajan en el sistema primario quebequense. Para contextualizar estos resultados y realzar sus aportaciones a la formacion, se integran datos de estudios llevados a cabo desde 1990 sobre la interdisciplinariedad en la ensenanza primaria en el Quebec. Los resultados muestran que una formacion longitudinal que incluya la participacion activa de los sujetos, los conduce a aclarar los conceptos en juego, a establecer distinciones entre la prâctica interdisciplinaria y sus fundamentos, a temer la especificidad de la interdisciplinariedad a nivelés curricular, didâctico y pedagogico y a concebir su uso para sostener la integraciôn de los procesos de aprendizaje y el saber en los alumnos.Der Artikel präsentiert die Ergebnisse einer anwendungsund bildungsbezogenen Forschungsarbeit über die interdisziplinàren Praktiken, welche mit Lehrern der quebekischen Grundschule im Rahmen ihrer Fortbildung geftihrt wurde. Um diese Ergebnisse in einen grotëeren Zusammenhang zu bringen und den Beitrag des Artikels zur Bildung besser herauszustellen, ubernimmt er Daten aus Arbeiten der Neunzigerjahre iiber Interdisziplinarität im Gr...

show abstract

“…Optimal scaling (see, for example, Young, 1981;Gifi, 1990;Linting, Meulman, Groenen, & Van der Kooij, 2007) is a methodology originating from psychometrics that assigns numeric values to categorical variables in an optimal way. Gifi (1990) discusses a host of multivariate analysis techniques (multiple correspondence analysis, nonlinear principal components analysis, generalized nonlinear canonical correlation analysis, etc.)…”

Section: Introductionmentioning

confidence: 99%

Optimal Scaling of Interaction Effects in Generalized Linear Models

Rosmalen

Koning

Groenen

2009

Multivariate Behavioral Research

View full text Add to dashboard Cite

Multiplicative interaction models, such as Goodman's RC(M) association models, can be a useful tool for analyzing the content of interaction effects. However, most models for interaction effects are only suitable for data sets with two or three predictor variables. Here, we discuss an optimal scaling model for analyzing the content of interaction effects in generalized linear models with any number of categorical predictor variables. This model, which we call the optimal scaling of interactions (OSI) model, is a parsimonious, one-dimensional multiplicative interaction model. We discuss how the model can be used to visually interpret the interaction effects. Two empirical data sets are used to show how the results of the model can be applied and interpreted. Finally, several multidimensional extensions of the one-dimensional model are explored.

show abstract

Quantitative analysis of qualitative data

Abstract: exploratory data analysis, descriptive data analysis, multivariate data analysis, nonmetric data analysis, alternating least squares, scaling, data theory,

Cited by 260 publications

References 24 publications

Nonlinear Generalized Structured Component Analysis

Nonlinear Generalized Structured Component Analysis

La formation continue d’enseignants du primaire à des pratiques interdisciplinaires : résultats de recherches

Optimal Scaling of Interaction Effects in Generalized Linear Models

Contact Info

Product

Resources

About