পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| DINA মডেল× | ফাজি-সেট গুণগত তুলনামূলক বিশ্লেষণ× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 2001 | 2000 |
| প্রবর্তক≠ | Brian Junker, Klaas Sijtsma | Charles Ragin |
| ধরন≠ | Discrete latent class model | Set-theoretic configurational method |
| মৌলিক উৎস≠ | Junker, B. W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272. DOI ↗ | Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗ |
| অপর নাম≠ | DINA | fsQCA, FSQCA |
| সম্পর্কিত | 4 | 4 |
| সারসংক্ষেপ≠ | The DINA Model (Deterministic Inputs, Noisy Outputs) is a cognitive diagnostic model developed by Junker and Sijtsma (2001) that classifies examinees into latent skill classes based on their item response patterns. DINA assumes a deterministic relationship between skill mastery and correct responses, with probabilistic error accounting for guessing and slips. | Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables. |
| ScholarGateডেটাসেট ↗ |
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