random sample	random assignment
completely randomized design	completely randomized factorial design
randomized block design	randomized block factorial design
nested design	hierarchical design
analysis of variance	analysis of covariance	multiple regression analysis
independence	normality	homogeneity of variance
		homoscedasicity
fixed effects	random effects	mixed effects
fixed variable	random variable
between subjects	within subjects	mixed subjects
crossed	nested	confounded
counter balancing	quasi F-ratio	conservative F-ratio
blocking	matching
error	residual	within cell
blocks	subjects
main effect	interaction
additivity	nonadditivity
compound symmetry	sphericity	circularity
pooling	tests of simple main effects
strength of association	omega-squared	intraclass correlation
R2	1-R2
multiple comparisons	planned comparisons	post-hoc comparisons
orthogonal comparisons	pairwise comparisons	nonpairwise comparisons
dummy coding	effect coding	orthogonal coding
expected mean squares	variance components
balanced	equal cell size	unbalanced
dependent variable	independent variable	covariate
trend analysis	orthogonal polynomial
type I ss	type II ss	type III ss

Linear Statistical Models Course