ScholarGate
Asystent

Porównaj metody

Przeglądaj wybrane metody obok siebie; wiersze, które się różnią, są wyróżnione.

Długoterminowe różnicowanie pozycji testowej (Longitudinal DIF)×Testowanie niezmienniczości pomiaru wzdłużnego×
DziedzinaPsychometriaPsychometria
RodzinaLatent structureLatent structure
Rok powstania1980s–2000s1993
TwórcaMultiple contributors; foundational DIF methods by Lord (1980) extended to longitudinal designsWilliam Meredith
TypItem-level bias detection across timeMeasurement model testing
Źródło pierwotneMillsap, 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. DOI ↗Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗
Inne nazwylongitudinal DIF, DIF across time, temporal DIF, longitudinal item biasLMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance
Pokrewne63
PodsumowanieLongitudinal 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 measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument.
ScholarGateZbiór danych
  1. v1
  2. 2 Źródła
  3. PUBLISHED
  1. v1
  2. 2 Źródła
  3. PUBLISHED

Przejdź do wyszukiwania Pobierz slajdy

ScholarGatePorównaj metody: Longitudinal DIF · Longitudinal Measurement Invariance. Pobrano 2026-06-18 z https://scholargate.app/pl/compare