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Multivariate Exploratory Quantitative Research

Multivariate exploratory quantitative research is a design in which researchers simultaneously examine multiple quantitative variables without imposing a predetermined structural model, using techniques such as exploratory factor analysis, cluster analysis, or principal component analysis to detect latent patterns, natural groupings, or underlying dimensions in the data. The goal is discovery and pattern recognition rather than hypothesis confirmation.

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Sources

  1. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
  2. Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541

Related methods

ScholarGateMultivariate Exploratory Quantitative Research (Multivariate Exploratory Quantitative Research Design). Retrieved 2026-06-04 from https://scholargate.app/en/research-design/multivariate-exploratory-quantitative-research