300198 Strukturgleichungsmodelle für Längsschnittdaten (S) (WiSe 2012/2013)
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) behandelt.
Modellschätzungen können mit dem Programm Mplus vorgenommen werden.
Informationen zum Programm Mplus sind unter http://www.statmodel.com erhältlich.
Die Seminarteilnehmer können mit ausgewählten Längsschnittdatensätzen die Modelle bearbeiten.
Requirements for participation, required level
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Ausreichende Kenntnisse mit den Statistikprogrammpaketen STATA oder SPSS sollten vorhanden sein.
Bibliography
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Engel, U. /J. Reinecke (1994): Panelanalyse, Berlin: DeGruyter.
Backhaus, K.; Erichson, B.; Plinke, W.; Weiber R. (2005): Multivariate Analysemethoden. 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. (2006). An introduction to latent variable growth curve modeling: Concepts, issues, and applications, Mahwah: Lawrence Erlbaum.
Hancock, G. R.; Mueller, R. O. (2006). Structural Equation Modeling. A Second Course. Greenwich: IAP.
Kline, R. B. (2011): Principles and Practice of Structural Equation Modeling. New York: The Guilford Press.
Loehlin, J.C. (2004): Latent variable models. An introduction to factor, path, and structural equation analysis. Mahwah: Lawrence Erlbaum.
Nagin, D. (2005): Group-Based Modeling of Development. Harvard: Harvard Univ. 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. (2006): A first course in structural equation modeling. Mahwah: Lawrence Erlbaum.
Reinecke, J. (2005): Strukturgleichungsmodelle in den Sozialwissenschaften. München: Oldenbourg.
Reinecke, J. (2012): Wachstumsmodelle. Mehring: Rainer Hampp.
Schumacker, R.E; Lomax, R. G. (2010): A Beginners's Guide to Structural Equation Modeling. Mahwah: Lawrence Erlbaum.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 14-16 | U4-114 | 09.10.2012-29.01.2013 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 30-M-Soz-M3a Soziologische Methoden a | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3b Soziologische Methoden b | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information | |
| 30-M-Soz-M3c Soziologische Methoden c | Seminar 1 | Study requirement
|
Student information |
| Seminar 2 | Study requirement
|
Student information | |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Bielefeld Graduate School In History And Sociology / Promotion | Optional Course Programme | ||||||
| Soziologie / Diplom | (Enrollment until SoSe 2005) | 2.3.1 | Wahl | (Ergänzungsveranstaltung) HS | |||
| Soziologie / Master | (Enrollment until SoSe 2012) | Modul 5.2 | Wahl | 3 | (bei Einzelleistung 3 LP zusätzlich) | ||
| Statistische Wissenschaften / Master | (Enrollment until SoSe 2014) | SW6 | 2. 3. | 3 | Mit Einzelleistung: 3 + 3 LP |
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- seminar (S) / 2
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