Analysis of covariance / Albert R. Wildt, Olli Ahtola.

1. Introduction
Overview of analysis of covariance
Alternate problem perspectives with analysis of covariance
2. Applications of analysis of covariance
Application one: Coerciveness and change
Application two: Partitioning and perceived crowding in a public space
Application three: Comparison of alternate teaching methods
Application four: American occupational structure
3. Principal uses of analysis of covariance
Increase precision of randomized experiments
Remove bias due to nonrandom assignment of experimental test units
When to use analysis of covariance in experimental settings
Remove bias in observational studies
Regression with multiple classifications
4. Statistical procedures for analysis of covariance for a one-way layout
Introduction
Covariance model
Completely randomized design
Testing [beta]
Comparisons among means
A priori orthogonal comparisons
A posteriori nonorthogonal comparisons
Numeric example for completely randomized design
Geometric representation
Alternate perspective of testing with analysis of covariance
Other problem perspectives
Analysis under second perspective
Analysis under regression perspective
5. Analysis of covariance for more complex layouts
Randomized complete block design
Covariance model
Testing [beta]
Mean comparisons
Numeric example for randomized complete block design
Factorial design
Covariance model
Further considerations
Testing [beta]
Comparisons among means
Numeric example for two-factor design with equal cell size
Analysis with unequal cell sizes
Other designs.