covariance analysis

covariance analysis

[kō′ver·ē·əns ə‚nal·ə·səs]
(statistics)
An extension of the analysis of variance which combines linear regression with analysis of variance; used when members falling into classes have values of more than one variable.
References in periodicals archive ?
The results of multiple covariance analysis of subjects in each component of marital burnout are presented in Table (4) to compare post-test scores in experimental and control groups.
Covariance analysis was used to evaluate data normality and covariance, and homogeneity of pretest scores between the two groups.
Linear regression relationships between SL, LW, and Wt were calculated and compared through the use of covariance analysis to determine if there was a relationship between sex and shell size or shape (Stoner et al.
Statistical analysis was performed by SPSS (version 13) using independent t-test, Pearson's correlation coefficient and covariance analysis of covariance.
The differences of scores among the five groups were compared using covariance analysis (ANCOVA) before and after the double-J stent application.
Serum homocysteine differences between the groups according to gender and folic acid values were adjusted and covariance analysis was used.
Covariance analysis was performed to see the association of liver function tests and MS (correcting for age, smoking, and gender).
Covariance analysis showed that serial autocorrelation was not a factor influencing recruitment within populations, and differences in precipitation accounted for 38.
After introducing basic statistical concepts and simple linear regression, he discusses multiple linear regression procedures and matrix algebra, aspects of correlation analysis and partial correlation analysis, common problems of multiple linear regression such as multiple collinearity and ridge regression bias, polynomial regression and its uses, residual analysis, the use of indicator or dummy variables, forward and stepwise selections of xi and backward elimination in statistical software, and covariance analysis.
In the first test, in order to statistically control the possible variation of density, the study of the data obtained was carried out using a covariance analysis.
A covariance analysis of constructs related to the process of mathematical discovery is presented.