পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| স্কেল উন্নয়নের জন্য ফ্যাক্টর বিশ্লেষণ× | বিষয়বস্তু বৈধতা অনুপাত (Content Validity Ratio)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1947 | 1975 |
| প্রবর্তক≠ | Louis Thurstone | Charles H. Lawshe |
| ধরন≠ | Exploratory factor analysis methodology | Expert panel content validity assessment |
| মৌলিক উৎস≠ | Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557 | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. link ↗ |
| অপর নাম≠ | Exploratory factor analysis, EFA for scale development, Factorial structure analysis | CVR, Content validity index, Expert judgment content validity, Lawshe CVR |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors. | The Content Validity Ratio (CVR) is a quantitative method developed by Charles Lawshe in 1975 for evaluating the extent to which items in a measurement instrument are relevant and representative of a target construct. The method aggregates expert panel judgments into a single validity coefficient for each item, enabling researchers to identify and retain only those items deemed essential by domain experts. CVR provides objective support for content validity claims during scale development. |
| ScholarGateডেটাসেট ↗ |
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