Contents

• Model selection: general
  • Comparisons: Penalised criteria
  
  
• Significance Testing, Goodness-of-fit Tests
• Bayesian methods
  • 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
  • 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
• Bibliography