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| Hierarkisk explorativ kvantitativ forskning× | Explorativ faktoriell analys (EFA)× | |
|---|---|---|
| Ämnesområde≠ | Forskningsdesign | Statistik |
| Familj≠ | Process / pipeline | Latent structure |
| Ursprungsår≠ | mid-20th century onward | — |
| Upphovsperson≠ | Developed from survey research traditions (Kish, 1965; Babbie, 1990s) | — |
| Typ≠ | Quantitative observational and survey design | Latent variable / dimension reduction |
| Ursprungskälla≠ | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage Publications. ISBN: 978-1452226101 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Alias≠ | stratified exploratory survey design, hierarchical survey research, multilevel exploratory quantitative design, hierarchical descriptive-quantitative design | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Närliggande≠ | 2 | 4 |
| Sammanfattning≠ | Hierarchical exploratory quantitative research is a survey and observational design that structures both sampling and analysis across nested population levels — such as students within classrooms within schools — to explore patterns, distributions, and relationships in numerical data without a pre-specified directional hypothesis. It is oriented toward discovery and description rather than confirmation, making it appropriate early in a research programme when the phenomenon is not yet well-mapped. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateDatamängd ↗ |
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