Linganisha mbinu

	Uchambuzi wa Utendaji Tofauti wa Kipengee kwa Wakati (Longitudinal DIF)	Uchanganuzi wa Kielelezo cha Uhakiki wa Muda Mrefu
Nyanja	Saikometriki	Saikometriki
Familia	Latent structure	Latent structure
Mwaka wa asili	1980s–2000s	1970s–1990s
Mwanzilishi	Multiple contributors; foundational DIF methods by Lord (1980) extended to longitudinal designs	Karl Jöreskog (CFA framework); longitudinal extension by Wheaton, Muthén, and Alwin in the 1970s–1990s
Aina	Item-level bias detection across time	Longitudinal latent variable / measurement model
Chanzo asilia	Millsap, R. E., & Kwok, O. M. (2004). Evaluating the impact of partial factorial measurement invariance on selection in two groups. Psychological Methods, 9(1), 93–115.	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.
Majina mbadala	longitudinal DIF, DIF across time, temporal DIF, longitudinal item bias	longitudinal CFA, repeated-measures CFA, longitudinal measurement model, panel CFA
Zinazohusiana	6	6
Muhtasari	Longitudinal differential item functioning detects whether individual test or scale items behave differently across measurement occasions for the same respondents. It extends standard DIF methodology to repeated-measures designs, ensuring that observed change scores genuinely reflect construct change rather than shifts in item characteristics 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.