পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহুস্তরীয় নোমোলজিক্যাল বৈধতা× | অভিসারী বৈধতা× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 2005 | 1959 |
| প্রবর্তক≠ | Chen, Bliese & Mathieu (building on Cronbach & Meehl) | Donald T. Campbell & Donald W. Fiske |
| ধরন≠ | Validity assessment / construct validation | Validity evidence / construct validation |
| মৌলিক উৎস≠ | Chen, G., Bliese, P. D. & Mathieu, J. E. (2005). Conceptual framework and statistical procedures for delineating and testing multilevel theories of homology. Organizational Research Methods, 8(4), 375–409. 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≠ | cross-level construct validity, multilevel construct validation, MNV, nomological validity across levels | convergent construct validity, convergence validity, AVE-based convergent validity |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | Multilevel nomological validity evaluates whether a psychological construct and its network of theoretical relationships hold consistently across multiple levels of analysis — such as individual, team, and organization. It extends classical construct validation to nested data structures, ensuring that a measure means the same thing and behaves as theory predicts at each level. | 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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