পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| তুলনামূলক নিশ্চিতকরণ গবেষণা (Comparative Confirmatory Research)× | মডেল টেস্টিং গবেষণা× | |
|---|---|---|
| ক্ষেত্র | গবেষণা নকশা | গবেষণা নকশা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1971 (Jöreskog); systematized in organizational research by 2000 | 1970s (Joreskog 1969–1973); widely adopted in social sciences by the 1980s–1990s |
| প্রবর্তক≠ | Karl Jöreskog (multigroup CFA foundation); Robert Vandenberg & Charles Lance (organizational application) | Karl G. Joreskog (SEM/LISREL framework); formalized through structural equation modeling tradition |
| ধরন≠ | Quantitative comparative research design | Confirmatory quantitative research design |
| মৌলিক উৎস≠ | Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ | Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press. ISBN: 978-1462523344 |
| অপর নাম | multigroup confirmatory research, cross-group confirmatory study, comparative hypothesis testing design, comparative model testing research | model-based research, structural model testing, theory-testing research, MTR |
| সম্পর্কিত≠ | 4 | 5 |
| সারসংক্ষেপ≠ | Comparative confirmatory research tests whether a pre-specified theoretical model or set of hypotheses holds equivalently across two or more distinct groups, time points, or contexts. It extends standard confirmatory analysis by explicitly imposing and evaluating equality constraints across groups, determining not only whether a model fits the data but whether its structure, factor loadings, and parameter estimates are comparable across populations. This design is foundational to cross-cultural, multi-site, and subgroup comparison studies. | Model testing research is a confirmatory quantitative design in which the researcher specifies a theoretical model — depicting hypothesized relationships among constructs — and then tests how well that model fits empirical data. Drawing primarily on structural equation modeling (SEM) and confirmatory factor analysis (CFA), it evaluates whether the data-implied covariance structure is consistent with the theoretically derived one, yielding fit indices that indicate model-data correspondence. |
| ScholarGateডেটাসেট ↗ |
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