Statistics & Methods Centre - Statistical methods

One of the aims of the MTL Statistics & Methods Centre is to guide students to resources in connection with the most common methods that they may come across while writing their master thesis. It is not the intention to present explanations of research methods and statistical techniques as there are already mainly sites on the web which do this. Even Wikipedia has an extensive and knowledgeable information base on these topics.

Selecting statistical methods

Elementary tests

• t-test
• Correlation
• Chi-square tests
• Nonparametric tests

Multivariate models

• Analysis-of-variance models
  • One-way analysis-of-variance
  • Factorial analysis-of-variance
  • Multivariate analysis-of-variance
  • Analysis-of-covariance
  • Repeated measures analysis of variance
• Regression models
  • Multiple regression
  • Logistic regression
  • Discriminant analysis

Exploratory multivariate analysis

• Principal component analysis: Numerical variables
• Principal component analysis: Categorical, ordinal, numerical variables
• Correspondence analysis
• Multidimensional scaling
• Cluster analysis

Confirmatory multivariate analysis

• Confirmatory factor analysis
• Structural equation modelling
• Loglinear analysis

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• Writing and statistics

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