300082 Structural Equation Modeling with Lavaan (engl.) (S) (WiSe 2014/2015)

Contents, comment

This course will give a basic introduction into the techniques of causal modelling and shows how a theoretical model
containing causal relationships can be represented by a path or structural equation model (SEM) to be applied to empirical data. Different specifications of measurement models are tested with confirmatory factor analysis. We will expand these models to allow measurement and structural relations in the model simultaneously. The usefulness of such models for measuring attitudinal and behavioural aspects will also be addressed. Different aspects related to cross-sectional, cross-cultural and longitudinal designs are emphasized.

Techniques of structural equation modeling will be shown with the program Lavaan:
http://lavaan.ugent.be/

Most examples are used from the Manual of Lavaan. Some examples are modified for clarification and better understanding. Some other examples are added. Participants should have basic knowledge in statistical data analysis with programs like SPSS, SAS or STATA which are required by Master and Diploma degrees. Participants should have knowledge to run data analysis with script-files (e. g, sps-files in SPSS, do-files in STATA).

References:
A. Beaujean (2014). Latent Variable Modeling using R, Routledge.

Bollen, K. A. & Curran, P. J. (2006). Latent curve models: A structural equation perspective. New Jersey: Wiley.

Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.

Bollen, K. A. / Long, J. S. (Eds.). (1993). Testing structural equation models. Newbury Park: Sage.

Bortz, J. (2005). Statistik für Human- und Sozialwissenschaftler (6. Auflage). Berlin: Springer.

Byrne, B. M. (2012). Structural equation modeling with Mplus. New York: Taylor & Francis.

Christ, O. & Schlüter, E. (2012). Strukturgleichungsmodelle mit Mplus. München: Oldenbourg.

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.

Enders, C. K. (2010). Applied missing data analysis. New York and London: Guilford Press.

Geiser, C. (2013). Data analysis with Mplus. New York: Guilford Press.

Hancock, G. R., & Mueller, R. O. (2006) (Eds.). Structural equation modeling: A second course.
Greenwich, CT: Information Age Publishing.

Hox, J. J. (2010). Multilevel analysis. Techniques and applications. Mahwah: Lawrence Erlbaum.

Kaplan, D. (2009). Structural equation modeling: Foundations and extensions. Los Angeles: Sage.

Kline, R. B. (2011). Principles and practice of structural equation modeling.
3nd. Edition, New York: Guilford Press.

Mulaik, S. A. (2009). Linear causal modeling with structural equations.
Boca Raton: Chapman Hall.

\item Muthén, L., & Muthén, B. O. (1998-2012). Mplus users guide (Version 7).
Los Angeles: Muthén & Muthén.

Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling.
Mahwah: Lawrence Erlbaum.

Reinecke, J. (2014). Strukturgleichungsmodelle in den Sozialwissenschaften. 2. Auflage.
München: DeGruyter & Oldenbourg.

Reinecke, J. (2012). Wachstumsmodelle. Mehring: Rainer Hampp.

Schumacker, R. E., & Lomax, R. G. (2010). A beginners guide to structural equation modeling (3nd ed.).
New York: Taylor & Francis.

Weiber, R. & Mühlhaus, D. (2014). Strukturgleichungsmodellierung (2. Auflage). Wiesbaden: Gabler & Springer.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

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
30-SW-ESo Empirische Sozialforschung 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 Theory and Methods Classes   Can be credited for Stream A // als Method Class nur anteilig zu besuchen  
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  

No more requirements
No eLearning offering available
Address:
WS2014_300082@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_37977829@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Thursday, October 22, 2015 
Last update rooms:
Monday, December 15, 2014 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Language
This lecture is taught in english
Department
Faculty of Sociology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=37977829
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
37977829