统计方法

1. Structural Equation Modeling　http://faculty.chass.ncsu.edu/garson/PA765/structur.htm

Key concepts and terms

Handling ordinal data

Modeling

Specification search

Model fit measures

Multiple group analysis

Mixture (latent class) modeling

Latent growth curve analysis

Mean structure analysis

Multilevel models

Assumptions

SPSS output example

Frequently asked questions

Bibliography

２．Structural Equation Modeling using AMOS: An Introduction　

http://ssc.utexas.edu/consulting/tutorials/stat/amos/

• Section 1: Introduction
  • About this Document/Prerequisites
  • Accessing AMOS
  • Documentation
  • Getting Helpwith AMOS
• Section 2: SEM Basics
  • Overview of Structural Equation Modeling
  • SEM Nomenclature
  • Why use SEM?
• Section 3: SEM Assumptions
  • A Reasonable Sample Size
  • Continuous and Normal Endogenous Variables
  • Model Identification (Identified Equations)
  • Complete Data or Appropriate Handling of Incomplete Data
  • Theoretical Basis for Model Specification and Causality
• Section 4: Building and Testing a Model Using AMOS Graphics
  • Illustration of the SEM-Multiple Regression Relationship
  • Drawing a model using AMOS Graphics
  • Reading Data into AMOS
  • Selecting AMOS Analysis Options and Running your Model
• Section 5: Interpreting AMOS Output
  • Evaluating Global Model Fit
  • Tests of Absolute Fit
  • Tests of Relative Fit
  • Modifying the Model to Obtain Superior Goodness of Fit
  • Viewing Path Diagram Output
  • Significance Tests of Individual Parameters
• Section 6: Putting it all together: A substantive interpretation of the findings
• References

３．Ed Rigdon's Structural Equation Modeling Page　

http://www2.gsu.edu/~mkteer/

４．Fun With Structural Equation Modelling in Psychological Research　

http://www.jeremymiles.co.uk/misc/fun/