পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Latent Growth Curve Model (LGC)× | কনফার্মেটরি ফ্যাক্টর অ্যানালাইসিস (CFA)× | |
|---|---|---|
| ক্ষেত্র≠ | পরিসংখ্যান | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1990 | 1969 |
| প্রবর্তক≠ | Meredith & Tisak | Karl Gustav Jöreskog |
| ধরন≠ | Latent variable / longitudinal growth model | Hypothesis-testing latent variable model |
| মৌলিক উৎস≠ | Meredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| অপর নাম | latent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi Modeli | CFA, confirmatory FA, measurement model, restricted factor analysis |
| সম্পর্কিত≠ | 5 | 4 |
| সারসংক্ষেপ≠ | The latent growth curve model is a structural equation modelling approach introduced by Meredith and Tisak (1990) for analysing change over time. It treats each individual's starting point (intercept) and rate of change (slope) as latent variables, simultaneously estimating the average trajectory across the sample and the extent to which individuals differ in their own trajectories. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
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