2017
DOI: 10.1515/9783486989458
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Strukturgleichungsmodelle mit Mplus

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Cited by 37 publications
(34 citation statements)
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“…Afterwards, a multiple group comparison (Kleinke et al 2017) was computed to test for interindividual differences between women and men in the specific factors for reading competence, as assumed in the second hypothesis. Thus, the average reading competence among women was compared to the average reading competence among men for each factor.…”
Section: Statistical Modelsmentioning
confidence: 99%
“…Afterwards, a multiple group comparison (Kleinke et al 2017) was computed to test for interindividual differences between women and men in the specific factors for reading competence, as assumed in the second hypothesis. Thus, the average reading competence among women was compared to the average reading competence among men for each factor.…”
Section: Statistical Modelsmentioning
confidence: 99%
“…Wir nutzen Analysen der Art Type=twolevel zur Definition von Zwei-Ebenen-Modellen. Die Berechnung robuster Standardfehler ermöglicht die reliable Schätzung auch bei Verletzung der Normalverteilungsannahme (Kleinke et al 2017). Zunächst wurde ein Nullmodell geschätzt, um den Intraklassenkorrelationskoeffizieten (ICC) der abhängigen Variablen und somit die Varianz auf Gruppenebene zu bestimmen.…”
Section: Auswertungsverfahrenunclassified
“…After testing the model for the whole sample, multi-group SEM modelling was employed to test whether there are differences in the relations between girls and boys and students with and without a migration background. Therefore, an unconstrained model (measurement model was constrained to be equal between groups; structural parameters varied between groups) was compared to a constrained model (measurement model and structural parameters were constrained to be equal across groups; Kleinke et al 2017). Due to the large sample size, the χ 2 -difference test was not utilized to compare the two models (Kelloway 2017).…”
Section: Multiple Group Comparisons: Gender and Migration Backgroundmentioning
confidence: 99%