To examine whether ethnic differences in relationship quality remained after controlling SES, we conducted univariate
analyses of covariance on (a) mother and father acceptance (adolescent report) and (b) diabetes conflicts with mothers (adolescent and mother report) and fathers (adolescent report), with SES as the covariate.
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
Using a repeated measures
analysis of covariance for those infants with more than one postnatal weight measurement available, the difference between the two groups was similar, ∼ 1.2 standard deviations (P =.005).
Statistical analyses (repeated
measures analysis of covariance with intent - to - treat) revealed statistically and clinically significant reduction in PTSD symptoms (p < 0.0005, Cohen's d = 0.85) as well as depression (p < 0.0005, Cohen's d = 0.70) for the group receiving HT+GI vs. TAU.
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
The repeated measures
analysis of covariance required two postnatal growth measurements within the breastfeeding period, and therefore, the sample size was reduced to 19 in the fluoxetine group and to 11 in the no medication group.
Results
from analyses of covariance indicated that there were no significant differences (p <.01) between aggression groups on any executive functioning subdomains.
Analyses of covariance demonstrated that adolescents who did not use condoms at last sex, ever self - cut, attempted suicide, used alcohol and other drugs and reported less condom use self - efficacy when emotionally aroused were significantly more likely (p <.01) to report greater difficulty with affect regulation than peers who did not exhibit these behaviors.
To examine parent knowledge, 3 (Condition: control, distraction, parent training) × 2 (Time: postinjection, 3 - month follow - up) repeated -
measures analyses of covariance were performed on the eight behaviors, controlling for baseline knowledge.
An analysis of covariance (ANCOVA) was used to determine if location influenced how first flowering dates varied over time and in response to temperature.
In this course, students will learn how to use a set of quantitative methods referred to as the general linear model — regression, correlation, analysis of variance, and
analysis of covariance — to address these and other questions that arise in educational, psychological, and social research.
An analysis of covariance (adjusting for pre-existing literacy differences in September), for example, indicated significant classroom differences on passage reading in May.
Significance tests and goodness of fit in
the analysis of covariance structures.
Analysis of covariance was used to determine treatment effects on students» knowledge of fractions when the pretest result was used as a covariate.
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.
ANCOVA,
analysis of covariance; GHQ, General Health Questionnaire; PSOC, Parenting Sense of Competence scale.
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.
The obtained results were analyzed using
the analysis of covariance and they showed that spiritual therapy is effective on increasing students» hope.
An analysis of covariance (ANCOVA) will be performed to estimate the postintervention mean difference in outcomes, controlling for the baseline levels of each outcome, for the following variables: fatigue severity, fatigue - related functional impairment, depression, anxiety and subjective sleep quality, thereby addressing objectives 6 and 7.
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.
Outcome Questionnaire (OQ - 45) On ITT analysis using
analysis of covariance (ANCOVA) to control for baseline symptom level, MOTR and PA gave a greater overall improvement in total score compared to GPM alone (F1, 73 = 7.25, p < 0.02).