পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| নিশ্চায়ক গাঠনিক বিশ্লেষণ× | অনুসন্ধানী উপাদান বিশ্লেষণ (EFA)× | |
|---|---|---|
| ক্ষেত্র≠ | মনোমিতি | পরিসংখ্যান |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1969 | — |
| প্রবর্তক≠ | Karl Jöreskog | — |
| ধরন≠ | Measurement model / latent variable analysis | Latent variable / dimension reduction |
| মৌলিক উৎস≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). Guilford Press. ISBN: 978-1462515363 | 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 | Doğrulayıcı Faktör Analizi — Ölçek Doğrulama (CFA), confirmatory factor analysis, measurement model testing | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| সম্পর্কিত≠ | 6 | 4 |
| সারসংক্ষেপ≠ | Confirmatory factor analysis is a measurement modelling technique that tests whether a hypothesised factor structure — typically derived from theory or an earlier exploratory analysis — fits observed data from a new sample. Developed by Karl Jöreskog in 1969, it became the dominant tool for validating psychological scales because it requires the researcher to specify in advance which items belong to which latent factor and then assesses the adequacy of that specification against explicit statistical fit criteria. | 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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