Weighted-Least-Square (WLS Schätzer)

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Weighted-Least-Square (WLS Schätzer)

Beitragvon Wimaos » Mo 12. Sep 2016, 20:43

Hallo, vielleicht kann mir hier ja jemand weiterhelfen. Ich versuche gerade meine Daten nciht mit dem ML sondern via WLS schätzen zu lassen.

Leider hat die mir genannte und im Internet recherchierte Variante keinen Erfolg.

Ich muss meine daten ja als ordinal eingeben um die dann schätzen zulassen, richtig?

Mein derzeitiger Befehl lautet: fit <- cfa(model, data=Matrix.2016.09.11,ordered=c("G1.1","G1.2","G1.3","G1.4","G1.5","G1.6","G1.7","G1.8","G1.9neu","G1.10","G1.11","G2.1","G2.2","G2.3","G2.4","G2.5","G2.6","G2.7","G2.8neu","G2.9","G2.10","G3.1","G3.2","G3.3","G3.4","G3.5","G3.6","G3.7","G3.8neu","G3.9","G3.10","G4.1","G4.2","G4.3","G4.4","G4.5","G4.6","G4.7","G4.8","G4.9neu","G4.10","G4.11","G4.12","G5.1","G5.2","G5.3","G5.4","G5.5","G5.6","G5.7","G5.8neu","G5.9","G5.10))
summary(fit, fit.measures=T, standardized=T)

Leider wird aber kein Ergebnis angezeigt, sondern in der Konsole nur:" > Matrix.2016.09.11 <- read.delim2("~/R/UnterlagenfuerBerechnungen/Matrix 2016-09-11.txt")
> View(Matrix.2016.09.11)
> fit <- cfa(model, data=Matrix.2016.09.11,ordered=c("G1.1","G1.2","G1.3","G1.4","G1.5","G1.6","G1.7","G1.8","G1.9neu","G1.10","G1.11","G2.1","G2.2","G2.3","G2.4","G2.5","G2.6","G2.7","G2.8neu","G2.9","G2.10","G3.1","G3.2","G3.3","G3.4","G3.5","G3.6","G3.7","G3.8neu","G3.9","G3.10","G4.1","G4.2","G4.3","G4.4","G4.5","G4.6","G4.7","G4.8","G4.9neu","G4.10","G4.11","G4.12","G5.1","G5.2","G5.3","G5.4","G5.5","G5.6","G5.7","G5.8neu","G5.9","G5.10))
+ summary(fit, fit.measures=T, standardized=T"

Habe versucht mit weniger Items, habe versucht vorher das Modell zudefinieren - nix funktioniert. Habe ich eine falsche Befehlszeile? Hat jemand einen Tipp/ einen möglichen funktionierenden Befehl?
Mein Datensatz heißt "Matrix.2016.09.11", Model darf gern weiterhin einfach "model" heißen.

Besten dank im Voraus,
m
Wimaos
 
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