পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বেয়েশীয় গাঠনিক সমীকরণ মডেলিং (Bayesian Structural Equation Modeling - BSEM)× | রিগ্রেশন ডিসকন্টিনিউটি ডিজাইন (RDD)× | |
|---|---|---|
| ক্ষেত্র≠ | বেইসীয় | কার্যকারণ অনুমান |
| পরিবার≠ | Bayesian methods | Regression model |
| উদ্ভবের বছর≠ | 2012 | 2008 |
| প্রবর্তক≠ | Bengt Muthén & Tihomir Asparouhov | Imbens & Lemieux (guide to practice); Cattaneo, Idrobo & Titiunik (practical introduction) |
| ধরন≠ | Bayesian latent variable model | Quasi-experimental causal design |
| মৌলিক উৎস≠ | Muthén, B. & Asparouhov, T. (2012). Bayesian SEM: A More Flexible Representation of Substantive Theory. Psychological Methods, 17(3), 313–335. link ↗ | Imbens, G. W., & Lemieux, T. (2008). Regression Discontinuity Designs: A Guide to Practice. Journal of Econometrics, 142(2), 615-635. DOI ↗ |
| অপর নাম≠ | BSEM, Bayesian latent variable model, approximate zero constraints SEM, Bayesçi Yapısal Eşitlik Modeli | RDD, regression discontinuity design, sharp RDD, fuzzy RDD |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | Bayesian SEM, introduced by Muthén and Asparouhov in 2012, extends classical structural equation modeling by placing prior distributions on factor loadings, path coefficients, and covariances. Instead of returning a single maximum-likelihood estimate, it uses Markov chain Monte Carlo to produce a full posterior distribution for every parameter, enabling principled uncertainty quantification in models with latent variables. | Regression Discontinuity Design is a quasi-experimental method that identifies a causal effect by locally comparing units just above and just below a cutoff on a continuous assignment (running) variable. Formalised for applied work by Imbens and Lemieux (2008) and developed as a practical framework by Cattaneo, Idrobo, and Titiunik (2020), it estimates a local average treatment effect (LATE) at the threshold. |
| ScholarGateডেটাসেট ↗ |
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