mean scores
type: Concept
broader: analysis of variance

one-way analysis of variance
type: Concept
broader: analysis of variance

statistics as topic
type: Concept
narrower: analysis of variance

t-test
type: Concept
broader: analysis of variance

random factors
type: Concept
broader: analysis of variance

F-ratio
type: Concept
broader: analysis of variance

multivariate analysis
type: Concept
broader: analysis of variance

levene's test
type: Concept
broader: analysis of variance

two-way analysis of variance
type: Concept
broader: analysis of variance

statistical significance
type: Concept
broader: analysis of variance

analysis of variance
type: Concept
narrower: one-way analysis of variance
narrower: multivariate analysis
narrower: two-way analysis of variance
narrower: levene's test
narrower: statistical significance
narrower: t-test
narrower: mean scores
narrower: random factors
narrower: effect size
narrower: F-ratio
alternative label: ANOVA
definition: Analysis of variance (ANOVA) is a statistical technique that is used to compare groups on possible differences in the average (mean) of a quantitative (interval or ratio, continuous) measure. Variables that allocate respondents to different groups are called factors; an ANOVA can involve one factor (a one-way design) or multiple factors (a multi-way or factorial design). [Source: Encyclopedia of Survey Research Methods; Analysis of Variance (ANOVA)]
broader: statistics as topic

methods
type: Collection
type: ConceptGroup
member: analysis of variance

effect size
type: Concept
broader: analysis of variance