পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহুচলকীয় অনুসন্ধানমূলক পরিমাণগত গবেষণা× | অনুসন্ধানী উপাদান বিশ্লেষণ (EFA)× | |
|---|---|---|
| ক্ষেত্র≠ | গবেষণা নকশা | পরিসংখ্যান |
| পরিবার≠ | Process / pipeline | Latent structure |
| উদ্ভবের বছর≠ | 1930s–1960s (foundational multivariate methods); codified in research design literature from the 1980s onward | — |
| প্রবর্তক≠ | Hair, Tabachnick, and colleagues (canonical synthesis); roots in Fisher, Hotelling, and Thurstone (early 20th century) | — |
| ধরন≠ | Quantitative research design | Latent variable / dimension reduction |
| মৌলিক উৎস≠ | Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540 | 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 ↗ |
| অপর নাম≠ | multivariate exploratory design, exploratory multivariate analysis, multivariate data exploration, MEQ research | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | 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. | 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. |
| ScholarGateডেটাসেট ↗ |
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