পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহুমাত্রিক পরীক্ষা-পুনঃপরীক্ষা নির্ভরযোগ্যতা× | কনফার্মেটরি ফ্যাক্টর অ্যানালাইসিস (CFA)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1979 (ICC foundation); multilevel extension: 1990s–2000s | 1969 |
| প্রবর্তক≠ | Shrout & Fleiss (ICC foundation); multilevel extension by Goldstein, Snijders, and others | Karl Gustav Jöreskog |
| ধরন≠ | Reliability estimation under hierarchical data | Hypothesis-testing latent variable model |
| মৌলিক উৎস≠ | Shrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| অপর নাম | hierarchical test-retest reliability, multilevel ICC reliability, nested test-retest reliability, ML-TRT reliability | CFA, confirmatory FA, measurement model, restricted factor analysis |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | Multilevel test-retest reliability estimates how consistently a measurement instrument produces the same scores across repeated administrations when observations are nested within higher-level units — such as patients within clinics or students within classrooms. It partitions total score variance across levels using intraclass correlation coefficients derived from multilevel models. | 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. |
| ScholarGateডেটাসেট ↗ |
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