dummy variables
type: Concept
broader: analysis of covariance

homogeneity of regression
type: Concept
broader: analysis of covariance

biostatistics and clinical epidemiology
type: Concept
narrower: analysis of covariance

F-ratio
type: Concept
broader: analysis of covariance

matched pairs
type: Concept
broader: analysis of covariance

analysis of covariance
type: Concept
narrower: homogeneity of regression
narrower: dummy variables
narrower: homogeneity of variance
narrower: F-ratio
narrower: covariates
narrower: matched pairs
narrower: statistical control
broader: statistics and research methods
broader: quantitative data analysis
broader: biostatistics and clinical epidemiology
definition: Analysis of covariance (ANCOVA) is a combination of analysis of variance (ANOVA) and regression analysis because the model contains both quantitative and qualitative independent variables. The idea is to enhance the ANOVA model by adding one or more quantitative independent variables that are related to the dependent variable. [Source: Encyclopedia of Epidemiology; Analysis of Covariance]
alternative label: ANCOVA

homogeneity of variance
type: Concept
broader: analysis of covariance

covariates
type: Concept
broader: analysis of covariance

statistical control
type: Concept
broader: analysis of covariance

statistics and research methods
type: Concept
narrower: analysis of covariance

quantitative data analysis
type: Concept
narrower: analysis of covariance

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