পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বিষয়বস্তু বৈধতা× | অনুসন্ধানী উপাদান বিশ্লেষণ (EFA)× | |
|---|---|---|
| ক্ষেত্র≠ | মনোমিতি | পরিসংখ্যান |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1975 | — |
| প্রবর্তক≠ | C. H. Lawshe (quantitative framework); earlier qualitative traditions in educational measurement | — |
| ধরন≠ | Validity evidence / expert judgement procedure | Latent variable / dimension reduction |
| মৌলিক উৎস≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | 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≠ | content-related validity, logical validity, face validity, content validation | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| সম্পর্কিত≠ | 6 | 4 |
| সারসংক্ষেপ≠ | Content validity is evidence that a measurement instrument adequately samples the full domain of the construct it is intended to measure. It is established through systematic expert review and quantified with indices such as Lawshe's Content Validity Ratio (CVR) and Lynn's Content Validity Index (CVI), making it the foundational validity step in scale development. | 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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