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947
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Einführung in lineare Strukturgleichungsmodelle mit Stata
Strukturmodell: Kausalhypothesen als Pfadmodell
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Author(s):
Julian Aichholzer
Publication date
(Online):
March 24 2017
Publisher:
Springer Fachmedien Wiesbaden
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Book Chapter
Publication date (Print):
2017
Publication date (Online):
March 24 2017
Pages
: 47-58
DOI:
10.1007/978-3-658-16670-0_4
SO-VID:
ebcd1f23-b7bc-41ee-8cee-fbe561db4f23
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Book chapters
pp. 5
Warum Strukturgleichungsmodelle anwenden?
pp. 13
Grundlagen in Stata
pp. 19
Grundlagen für Strukturgleichungsmodelle
pp. 47
Strukturmodell: Kausalhypothesen als Pfadmodell
pp. 59
Messmodell: Indikator-Konstrukt-Beziehung und Messfehler
pp. 73
Faktorenanalyse: Messmodell latenter Variablen in SEM
pp. 103
Zusammenfassung: Das vollständige SEM
pp. 107
Grundlagen der Modellschätzung in SEM
pp. 125
Modellbewertung und Ergebnispräsentation
pp. 137
Anwendungsbeispiele von SEM mit Stata
pp. 163
Rückblick und Ausblick
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