Universität Wien

390076 DK PhD-M: Structural Equations Modeling (2021W)

PhD-M: Structural Equations Modeling

Prüfungsimmanente Lehrveranstaltung
VOR-ORT

This course is only offered for PhD students.

By registering for this course you agree that the automated plagiarism software Turnitin processes and stores your data (i.e. project work, seminar papers, etc.).

https://international-marketing.univie.ac.at/studies/phd-management/courses-ws-202122/

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Mittwoch 20.10. 08:00 - 18:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Donnerstag 21.10. 08:00 - 18:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Freitag 22.10. 08:00 - 18:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Freitag 14.01. 13:15 - 14:45 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is targeted to PhD students and seeks to provide a user-friendly introduction to structural equations modeling (SEM) using the LISREL program. It is designed for non-experts and its emphasis is on understanding and applying SEM as a tool in substantive research. The course assumes previous knowledge of data analysis and statistics (including factor analysis and regression). Students taking this course must have already successfully completed the Multivariate Business Statistics course of the PhD Management core program.

The course is designed to familiarize participants with the various stages associated with conceptualizing, estimating, and evaluating SEM models, highlighting key decisions and potential problems at each stage. Following an introduction to SEM as an analytical approach, issues associated with the theoretical specification and graphical representation of a SEM model are discussed. These set the background for applying the LISREL program to estimate the model and assess its fit along different criteria. Strategies for model modification and cross-validation are also outlined. To enable participants experience SEM "in action", the above issues are illustrated by using a concrete example of a model specified and estimated with the LISREL program. Detailed guidance for setting up and interpreting the relevant input/output files of the program is also provided.

The course will take the form of interactive workshop sessions, placing particular emphasis on student participation.

Students are expected to download the free trial version of the LISREL program from www.ssicentral.com and also read widely on the subject (see Literature below).

Topics

- Introduction to SEM

- Model Conceptualization I: Structure

- Model Conceptualization II: Measurement

- Path Diagram Construction

- Model Identification

- Introduction to the LISREL Program

- Parameter Estimation

- Model Fit Evaluation

- Model Modification

- Model Cross-Validation

- Examples of different types of SEM models

Art der Leistungskontrolle und erlaubte Hilfsmittel

The assessment will take the form of a project on using LISREL to estimate and evaluate structural equation models. Full details will be given in the last session (once students have become familiar with SEM principles and the LISREL program).

Mindestanforderungen und Beurteilungsmaßstab

The grading system looks as follows: 0 to 49% - grade 5, 50 to 59% - grade 4, 60 to 69% - grade 3, 70 to 79% - grade 2, 80 to 100% - grade 1. Students who fail must repeat the entire course (and must register in the usual way next time the course is offered). No opportunities for make-ups will be offered.

Prüfungsstoff

Each student will work on the LISREL project which will be based on material covered in the lectures and contained in the course text. Based on this, a written report will be prepared and submitted.

Literatur

The required text for the course is:

Diamantopoulos, A. and Siguaw, J.A. (2000): Introducing LISREL, Sage Publications (ISBN 0-7619-5171-7).

Student should also read the relevant chapters on SEM in:

Hair, J. F., Black, W. C., Babin, B. J. and Anderson, R. E. (2010): Multivariate Data Analysis, 7th edition, Pearson (ISBN 978-0-13-515309-3).

A selected list of journal articles on SEM in general and LISREL in particular can be found in the course outline.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 12.05.2023 00:26