পদ্ধতির তুলনা করুন

	দীর্ঘস্থায়ী অভিসারী বৈধতা	অনুদৈর্ঘ্য নিশ্চিতকারী ফ্যাক্টর বিশ্লেষণ
ক্ষেত্র	মনোমিতি	মনোমিতি
পরিবার	Latent structure	Latent structure
উদ্ভবের বছর	1997–2003	1970s–1990s
প্রবর্তক	Cole & Maxwell; Widaman & Reise	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
ধরন	Validity evidence framework	Longitudinal latent variable / measurement model
মৌলিক উৎস	Cole, D. A. & Maxwell, S. E. (2003). Testing mediational models with longitudinal data: Questions and tips in the use of structural equation modeling. Journal of Abnormal Psychology, 112(4), 558–577.	Widaman, K. F. & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. In K. J. Bryant, M. Windle & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association.
অপর নাম	longitudinal construct validity, repeated-measure convergent validity, cross-time convergent validity, temporal convergent validity	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
সম্পর্কিত	6	6
সারসংক্ষেপ	Longitudinal convergent validity evaluates whether a scale's indicators correlate with theoretically related constructs not just at a single time point but consistently across repeated measurement occasions. It extends standard convergent validity testing into longitudinal designs to ensure that the scale measures the intended construct in the same meaningful way over time.	Longitudinal confirmatory factor analysis (longitudinal CFA) applies a theoretically specified measurement model to data collected at two or more time points. Its primary purpose is to verify that a scale measures the same latent construct in the same way over time — a prerequisite for drawing valid conclusions about change from repeated-measures data.