পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Robust Nomological Validity× | অভিসারী বৈধতা× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1955 | 1959 |
| প্রবর্তক≠ | Cronbach & Meehl (seminal framework); later extended by Shadish, Cook, and Campbell | Donald T. Campbell & Donald W. Fiske |
| ধরন≠ | Validity assessment / construct validation | Validity evidence / construct validation |
| মৌলিক উৎস≠ | Cronbach, L. J. & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. 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≠ | nomological network validity, robust validity testing, nomological validity, RNV | convergent construct validity, convergence validity, AVE-based convergent validity |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | Robust nomological validity evaluates whether a psychological construct relates to theoretically expected variables in the predicted directions, using statistically robust estimation methods that remain trustworthy when distributional assumptions are violated. It tests the construct's place within its nomological network — the web of theoretical relationships that define its meaning. | 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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