In the main analyses, we first performed a multivariate test on the association between sample status and all developmental outcomes in GLM
multivariate analyses of covariance.
We first conducted two one - way
multivariate analyses of covariance (MANCOVAs) with ethnicity (African American, European American) as the independent variable and age, income, and education as covariates.
Effect of intervention on mother — child interaction (CARE Index): mean (SD) scores at 12 months and results of univariate and
multivariate analysis of covariance adjusting for total number of risk factors
An intent - to - treat analysis was conducted using univariate analysis of covariance for continuous variables and
multivariate analysis of covariance for continuous variables in which the predictor variable comprised multiple scales.
We hypothesized that
multivariate analysis of covariance (MANCOVA), with youth age controlled, would reveal that youths» scores on the CPI (Nansel & Weissberg - Benchell, et al., 2008) would be related to youths» diabetes outcomes (glycemic control, treatment adherence, diabetes and general quality of life, family conflict, youth depressive symptoms, fear of hypoglycemia, and family sharing of diabetes responsibilities) as follows:
Not exact matches
This is why, in our modeling efforts, we do massive
multivariate, longitudinal
analyses in order to exploit the
covariance structure
of student data over grades and subjects to dampen the errors
of measurement in individual student test scores.
Performed advanced statistical
analysis (univariate and
multivariate analysis of variance, cluster and path
analysis, principle component and factor
analysis,
analysis of covariance, survival & longitudinal
analysis, logistic and linear regression modeling), created customized reports and presentation quality data summary tables and figures.
The requirements for a
Multivariate Analysis of Variance (MANOVA), multivariate normal distribution of dependent variables and homogeneity of variance and of the covariance matrices, were verified using the Levene test (Levene, 1960) and were found to be unfulfilled only for the broadband aggression / delinquency scale
Multivariate Analysis of Variance (MANOVA),
multivariate normal distribution of dependent variables and homogeneity of variance and of the covariance matrices, were verified using the Levene test (Levene, 1960) and were found to be unfulfilled only for the broadband aggression / delinquency scale
multivariate normal distribution
of dependent variables and homogeneity
of variance and
of the
covariance matrices, were verified using the Levene test (Levene, 1960) and were found to be unfulfilled only for the broadband aggression / delinquency scale in the CBCL.