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.
Pročitajte celu metodu
Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.
Method map
The neighbourhood of related methods — select a node to explore.
Izvori
- Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
- Tabachnick, B. G., & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Multivariate Exploratory Quantitative Research Design. ScholarGate. https://scholargate.app/sr/research-design/multivariate-exploratory-quantitative-research
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Klaster analizaStatistika↔ compare
- Konfirmatorno istraživanjeDizajn istraživanja↔ compare
- Експлоративна факторска анализа (ЕФА)Statistika↔ compare
- Експлораторно квантитативно истраживанјеDizajn istraživanja↔ compare
- Multivarijantno korelacijsko istraživanjeDizajn istraživanja↔ compare
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