Contents

• Model selection: general
  • Comparisons: Penalised criteria
• Significance Testing, Goodness-of-fit Tests
• Bayes factors
  • Bayesian testing
  • Approximations to BF: choice of prior
  • Approximations to BF: training samples
  • Simulation methods
  • Model averaging
• AIC and related methods
  • Order selection of time series models, especially with AIC
  • NIC/TIC and other generalisations of AIC
• Cross-validation and other predictive criteria
  • Cross-validation
  • Other predictive criteria
  • Subset selection for linear regression
• Index of dissimilarity
• Mixture Index of fit
• Other criteria
  • R2-like measures
    • Proportional reduction in discrepancy
    • Estimating R2 of a continuous latent outcome
    • Transformation of a test statistic
  • Goodness of fit in structural equation models
• Model selection in Sociological literature
  • Model selection methods
  • Examples: models for social mobility
  • Other examples
• Overdispersion and measurement error
• Path analysis
  • Linear structural equation models
  • Nonlinear models
• Others
• References
• About this document ...