Dossier de preuve de méthode

Multivariate Causal-Comparative Research

Multivariate causal-comparative research is a quantitative, non-experimental design that investigates whether pre-existing group differences (defined by a naturally occurring categorical variable) are associated with differences across multiple outcome variables considered simultaneously. By extending the classic causal-comparative framework to several dependent variables at once, it reduces Type I error inflation and captures the correlated structure of outcomes that univariate comparisons would miss.

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Multivariate Causal-Comparative Research Design

Dossier de méthode taxonomique · process-pipeline / research-design

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to Design and Evaluate Research in Education (10th ed.). McGraw-Hill. · ISBN 978-1260085594
Gay, L. R., Mills, G. E., & Airasian, P. W. (2012). Educational Research: Competencies for Analysis and Applications (10th ed.). Pearson. · ISBN 978-0132613170

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Méthodes apparentées

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Taxonomic bucketCausal-Comparative Researchmachine-suggested · Relational suggestion, not evidence.See alsoDiscriminant Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEx Post Facto Designmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLongitudinal Causal-Comparative Researchmachine-suggested · Relational suggestion, not evidence.See alsoMANOVAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultivariate Correlational Researchmachine-suggested · Relational suggestion, not evidence.