300253 Einführung in die Längsschnittdatenanalyse mit Strukturgleichungsmodellen (S) (WiSe 2020/2021)
Contents, comment
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Strukturgleichungsmodelle für Längsschnittdaten können verschiedene Ebenen der Datenanalyse unterscheiden, verschiedene Arten von gemessenen Variablen
(dichotom, ordinal, kontinuierlich) analysieren.Im Seminar werden insbesondere Ansätze behandelt, die Reliabilität und Validität der Messungen prüfen können und darüber hinaus Entwicklungen und Verläufe modellieren. Hierzu gehören autoregressive Regressionsmodelle, Wachstumsmodelle und auch Mischverteilungsmodelle.
Schwerpunktmäßig werden die Modelle in Reinecke (2012) und Reinecke (2014) behandelt.
Modellschätzungen können mit dem Programm lavaan in R und dem SEM-Modul in Stata vorgenommen werden.Die Seminarteilnehmer können mit ausgewählten Längsschnittdatensätzen die Modelle bearbeiten.
Ausreichende Kenntnisse mit dem Statistikprogrammpaket STATA sollten vorhanden sein. Kenntnisse im Umgang mit R sind erwünscht.
Bibliography
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- Backhaus, K.; Erichson, B.; Plinke, W.; Weiber R. (2018): Multivariate Analysemethoden. 15. Aufl. Berlin: Springer.
- Bollen, K.A. (1989): Structural Equations with Latent Variables. New York: Wiley.
- Bollen, K.A. (2006): Latent Curve Models. New York: Wiley.
- Duncan, T.E., Duncan, S.C., Strycker, L.A., Li, F., \& Alpert, A. (2011). An introduction to latent variable growth curve modeling: Concepts, issues, and applications. 2nd edition. Mahwah: Lawrence Erlbaum.
- Engel, U. /J. Reinecke (1994): Panelanalyse, Berlin: DeGruyter.
- Hancock, G. R.; Mueller, R. O. (2013). Structural Equation Modeling. A Second Course. 2nd. edition. Greenwich: IAP.
- Kline, R. B. (2016): Principles and Practice of Structural Equation Modeling (4th edition). New York: The Guilford Press.
- Loehlin, J.C.; Beaujean, A. A. (2017): Latent variable models. An introduction to factor, path, and structural equation analysis. 5th edition. Mahwah: Lawrence Erlbaum.
- Nagin, D. (2005): Group-Based Modeling of Development. Cambrdige: Harvard University Press.
- McLachlan, G.; Peel, D. (2000): Finite Mixture Models. New York: Wiley.
- Mulaik, S. A. (2009): Linear causal modeling with structural equations. New York: Champman \& Hall.
- Raykov, T. \& Marcoulides, G.A. (2000): A first course in structural equation modeling. Mahwah: Lawrence Erlbaum.
- Reinecke, J. (2012): Wachstumsmodelle. Mehring: Rainer Hampp.
- Reinecke, J. (2014): Strukturgleichungsmodelle in den Sozialwissenschaften. 2. Aufl. München: Oldenbourg.
- Schumacker, R.E; Lomax, R. G. (2016): A Beginners's Guide to Structural Equation Modeling (4th edition). Mahwah: Lawrence Erlbaum.
- Stata Corp (1985–2013): Structural Equation Modeling. Reference Manual Release 13. Texas: College Station.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 14-16 | ON SITE & ONLINE X-D2-103 | 26.10.2020-12.02.2021 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 30-M-Soz-M3a Soziologische Methoden a | Seminar 1 | Study requirement
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Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3b Soziologische Methoden b | Seminar 1 | Study requirement
|
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| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3c Soziologische Methoden c | Seminar 1 | Study requirement
|
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| Seminar 2 | Study requirement
|
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| - | Graded examination | Student information | |
| 30-SW-ESo Empirische Sozialforschung | Seminar 1 | Study requirement
|
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| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information |
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