Structural equation models, spring 2017

Last modified by kvehkala@helsinki_fi on 2024/02/07 06:40

Structural equation models, spring 2017

Lecturer

Kimmo Vehkalahti, University Lecturer, Adj.Prof., D.Soc.Sci (Statistics)
Fellow of the Teachers' Academy

Target group

This is an application-oriented basic course of Structural Equation Models (SEM) using Mplus and R.

  • It is primarily targeted to Doctoral students of Social Sciences, who have no prior knowledge of SEM.
  • The course is also suitable for Master's students of Statistics (e.g., Social Statistics, Psychometrics).
  • The number of participants is limited to maximum of 20.

Text book

 We will closely follow a text book by Barbaba M. Byrne, and learn its most central topics through empirical examples.

  • We begin by going (fast) through the chapters 1 and 2 (first week).
  • The primary focus will then be on the chapters 3, 4, 6, 7 and 9 (basically, one week for each).
  • The chapters 5 and 8 will serve for optional assignments (see below).
  • (The chapters 10-12 will be excluded.)

 Please get the book ASAP (you may well consider the e-book!). It may be quite difficult to follow the course without it.

Schedule

The course is scheduled this time on period III, starting in the mid January and ending in early March.

It is essential to participate on the lectures and the computer classes. Both will begin immediately.

Schedule: course begins on Monday 16 January and lasts for 7 weeks:

  • Computer Class on Mondays 10-12, SSKH IT-sal (Snellmaninkatu 12, first floor) - except on Mon 23 January! (CANCELLED)
  • Lecture on Thursdays 16-18, Unioninkatu 35, room 114 (first floor)

Exam

 There is no exam, as this is learning by doing and practicing. Credits will be earned as follows (more details during the course):

  • 6 cu: active participation, weekly assignment reports (based on chapters 3,4,6,7,9)
  • 8 cu: all of the above plus an additional report (based on chapter 5 or chapter 8 or perhaps own data)

Grading will be based on the active participation as well as the quantity and quality of the assignment reports.

Moodle will be used for sharing the materials, your reports etc. with all other students of the course.

 

ByrneFig6-2-crop.pngByrneFig6-2-crop.pdf

 

Pre-course material

  1. Introduction to SEM by KV
    • Keynote talk given in the Annual Seminar of FiDPEL:
      The Finnish Doctoral Programme in Education and Learning (2013)
    • Suitable stuff for everyone interested in this course
  2. Multivariate linear relations by prof. Theodore W. Anderson (1918-2016) (Stanford University, USA)

  3. Matrices of SEM

    • Learn the basics of Greek letters needed with SEM
    • Suitable stuff at least for students of Statistics
  4. Moodle forum example

    • Learn the basics of Greek mythology related to multivariate statistical analysis
    • Suitable stuff at least for students of Statistics

Praise for the course (16 Oct 2014)









Dear Kimmo,during my ERASMUS semester in Helsinki I attended the first versionof your SEM course which, as I just read on your website, you stilloffer. After attending it and after coming back to Munich and afterfinishing my Master thesis I started to work at the Faculty ofSocial Sciences here and I could even use the expertise gained fromyour course directly in a paper which got published a while ago (itis in German, though). Hence, I need to tell you, that you stillare my personal most-influental memory of my Finland semester.Thanks for that :)

 

[...]

 


Best regards from Munich,Mario

 


--Mario Haim, M.A.

 



Institut für Kommunikationswissenschaft und MedienforschungLudwig-Maximilians-Universität MünchenOettingenstr. 67 / Raum EU111D-80538 München

 

(Quoted with permission.)

Register for the course

 

https://weboodi.helsinki.fi/hy/opettaptied.jsp?html=1&OpetTap=101814654