Effect of intervention on maternal functioning: mean scores at baseline, 6 months and 12 months and results of
analysis of covariance adjusting for baseline scores and total number of risk factors
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
Not exact matches
Age - and energy -
adjusted means for dietary variables were compared with
analysis of covariance.
An
analysis of covariance (
adjusting for pre-existing literacy differences in September), for example, indicated significant classroom differences on passage reading in May.
We analyzed data using the LISREL 8.80
analysis of covariance structure approach to path
analysis and maximum likelihood estimates.42 We used four goodness -
of - fit statistics to assess the fit
of our path model with the data: the Root Mean Square Error
of Approximation test (RMSEA), the Norm - fit index (NFI), the
adjusted Goodness
of Fit index (GFI) and the mean Root Mean Square Residual (RMR).
The general linear model procedure23 in SAS software was used to conduct the
analysis of covariance and obtain the least square means (ie, the means
adjusted for baseline score).
The model was expanded to included
analysis of covariance within the structural equation modelling framework in order to correct for measurement error and
adjusting for the imbalance in scores across the intervention and control group at the baseline.
Multiple - classification
analysis and
analysis of covariance were employed to examine the relationship between widowhood and social ties after
adjusting for the other covariates.