เปรียบเทียบวิธี

	การวิเคราะห์ความน่าเชื่อถือตามยาว	การวิเคราะห์ปัจจัยยืนยันตามแนวแกนเวลา
สาขาวิชา	การวัดทางจิตวิทยา	การวัดทางจิตวิทยา
ตระกูล	Latent structure	Latent structure
ปีกำเนิด	1951–1979	1970s–1990s
ผู้ริเริ่ม	Paul B. Baltes, John R. Nesselroade, Lee J. Cronbach (foundational contributors)	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
ประเภท	Reliability assessment	Longitudinal latent variable / measurement model
แหล่งต้นตำรับ	Baltes, P. B., & Nesselroade, J. R. (1979). History and rationale of longitudinal research. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 1–39). Academic Press.	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.
ชื่อเรียกอื่น	repeated-measures reliability, longitudinal consistency assessment, temporal reliability analysis, reliability over time	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
ที่เกี่ยวข้อง	4	6
สรุป	Longitudinal reliability analysis evaluates the consistency and stability of measurement instruments across two or more time points. It extends classical reliability concepts — internal consistency, test-retest stability, and measurement precision — to repeated-measures designs, ensuring that observed score changes reflect true change rather than measurement error.	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.