পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| কনফার্মেটরি ফ্যাক্টর অ্যানালাইসিস (CFA)× | অভিসারী বৈধতা× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1969 | 1959 |
| প্রবর্তক≠ | Karl Gustav Jöreskog | Donald T. Campbell & Donald W. Fiske |
| ধরন≠ | Hypothesis-testing latent variable model | Validity evidence / construct validation |
| মৌলিক উৎস≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ |
| অপর নাম≠ | CFA, confirmatory FA, measurement model, restricted factor analysis | convergent construct validity, convergence validity, AVE-based convergent validity |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. |
| ScholarGateডেটাসেট ↗ |
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