Structural Equation Modeling in Educational Research
Petri Nokelainen (petri.nokelainen@uta.fi)
Learning material
Lectures [PPT]
Structural Equation Modeling with AMOS [PDF]
Data files [Folder]
Literature
Bollen, K. (1989). Structural Equations with Latent Variables. New York: John Wiley
& Sons.
Hair, J. F., Anderson, R. E., Tatham R. L., & Black, W. C. (1995). Multivariate
Data Analysis. Fourth edition. Englewood
Cliffs, NJ: Prentice Hall.
Kaplan, D. (2000). Structural Equation Modeling. Foundations and
Extensions. Thousand Oaks:
Sage.
Raykov, T., & Marcoulides, G. (2000). A First Course in Structural
Equation Modeling. Mahwah, NJ:
Lawrence
Erlbaum Associates.
Schumacker, R. E., & Lomax, R. G. (2004). A Beginner's Guide to
Structural Equation Modeling. Second edition. Mahwah,
NJ: Lawrence
Erlbaum Associates.
Tabachnick, B ., & Fidell, L. (1996). Using Multivariate Statistics.
New York:
HarperCollins.
Articles
Nokelainen, P. (1999). Introduction to Structural Equation Modeling.
Hämeenlinna: RCVE. [PDF]
Nokelainen, P., Silander, T.,
Ruohotie, P., & Tirri, H. (2007). Investigating the Number of
Non-linear and Multi-modal Relationships between Observed Variables Measuring a
Growth-oriented Atmosphere. Quality & Quantity, 41(6),
869-890. [PDF]
Tirri, K., & Nokelainen, P. (2008). Identification of multiple intelligences with the Multiple Intelligence Profiling Questionnaire III. Psychology Science Quarterly, 50(2), 206-221. [PDF]
Tirri, K., Nokelainen, P., & Ubani, M. (2006). Conceptual Definition and
Empirical Validation of the Spiritual Sensitivity Scale. Journal of
Empirical Theology, 19(1), 37-62. [PDF]
Links
AMOS (SPSS
Inc.)
AMOS development
Student
version 5.01 (32.5 Mb, allows max. of 8 observed variables) [European
mirror]
LISREL
EQS
SEMNET-newsgroup
David Garson's Structural Equation Modeling Page
David
Kenny's Structural Equation Modeling Page
Structural Equation Modeling on the Wikipedia
Assignments
Assignment 1. Write a 1500 - 2000 word essay that describes a
pratical scenario of applying structural equation modeling (SEM) to your own
research. Here are few starting points: Try to formulate at least one
quantitative research question / problem that could be solved with SEM.
Describe how you would use SEM to solve the problem: Write about the method,
including at least description of real or fictive sample, data collection,
statistical procedures and which one of the SEM approaches (e.g., CFA, path
analysis) you choose to use. Try to ponder pros and coins of this approache.
Memorize lectures and read articles, at least those provided in the course and
refer to them using APA -style references.
Assignment 2. Complete "Structural Equation Modeling with
AMOS" exercises 1a, 1b, 2a, 2b.