Cover; Contents; Chapter 1 -- Basic Features of Statistical Analysis and the General linear Model; Chapter 2 -- Multivariate Amalysis of Variance; Chapter 3 -- Multiple Regression; Chapter 4 -- Log-linear Analysis; Chapter 5 -- Logistic Regression; Chapter 6 -- Factor Analysis; Chapter 7 -- Path Analysis; Chapter 8 -- Sructural Equation Modelling; Chapter 9 -- Time Series Analysis; Chapter 10 -- Facet Theory and Smallest Space Analysis; Chapter 11 -- Survival or Faliure Analysis; Chapter 12 -- Repertory Grids; Index
Summary
Perfect for students without a mathematical background, the authors refresh important basics such as descriptive statistics and research design as well as introducing essential upper-level techniques to cater for the advanced student
