ScholarGate
Assistent

Methoden vergleichen

Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.

Latent Growth Curve Modell (LGC)×Strukturelle Gleichungsmodellierung (SEM)×
FachgebietStatistikStatistik
FamilieLatent structureLatent structure
Entstehungsjahr19901970
UrheberMeredith & TisakKarl Jöreskog (LISREL framework, 1970s)
TypLatent variable / longitudinal growth modelLatent variable / causal modeling
Wegweisende QuelleMeredith, W. & Tisak, J. (1990). Latent Curve Analysis. Psychometrika, 55(1), 107–122. DOI ↗Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage Learning. ISBN: 978-1473756540
Aliasnamenlatent growth model, LGC, growth curve model, Gizil Büyüme Eğrisi ModeliYapısal Eşitlik Modellemesi (SEM), structural equation modelling, covariance structure analysis, latent variable modeling
Verwandt55
ZusammenfassungThe 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.Structural equation modeling is a multivariate statistical framework that simultaneously estimates a measurement model — relating observed indicators to latent constructs — and a structural model specifying directional or reciprocal relationships among those constructs. Rooted in the LISREL tradition developed by Karl Jöreskog in the 1970s, SEM is the standard tool for testing complex theoretical models in the social, behavioural, and management sciences.
ScholarGateDatensatz
  1. v1
  2. 1 Quellen
  3. PUBLISHED
  1. v1
  2. 3 Quellen
  3. PUBLISHED

Zur Suche Folien herunterladen

ScholarGateMethoden vergleichen: LGC Model · SEM. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare