The validity of the counterfactual was established by testing for statistically significant
differences in outcome variables between CfC and comparison sites at wave 1 and by testing for differential rates of sample attrition between waves 1 and 3.
Significant
differences in the outcome variables were found for the in - person treatment group and for the on - line only versions of the program, versus a wait - listed control group.
Not exact matches
An unconditional HLM is one without an explanatory
variable that allows us to answer the question: how much variance
in student
outcome can be attributed to systematic
differences between classrooms and schools on specific factors?
Since we found baseline
differences in race / ethnicity and clinic site by treatment group, we also conducted multivariate analyses to control for these
variables on
outcomes including EC use, unprotected intercourse, contraceptive method change, frequency of condom use, and condom use at last intercourse.
In addition, there were no
differences among conditions on
outcome variables at baseline.
This is supported by Szatmari's work
in Canada, which showed that family dysfunction and, for boys, service needs disappeared as significant
variables associated with ADHD when comorbidity for other disorders were factored
in, of which by the far the most common was CD.31 Unsurprisingly, abused children with ADHD have poorer
outcomes in adulthood, but that could have several alternative explanations as there are many confounders that could account for these
differences in outcome.
First, multilevel modelling was used to estimate the impact of CfC by comparing the
difference between CfC and comparison sites
in the
outcome measures at wave 3 after taking account of demographic
variables (see table 2).
The baseline covariates serve as adjustment for potential
differences between intervention and control families that resulted from nonrandom assignment at quasi-experimental sites or selective reporting of
outcome data.29 Results of these adjusted analyses are reported as ORs for dichotomous
variables and as
differences in means for continuous
outcomes.
Personality: While individual
differences have been accounted for previously
in the DRIVE model by including coping style and attributional style
variables, personality
variables represent a significant omission
in this area, particularly when considering subjective well - being
outcomes where personality has been cited as potentially the most important predictor (Diener et al., 2003).
At 4 - to 6 - month followup, treatment gains were maintained
in both treatment groups on four of seven
outcome variables, but there were no statistically significant
differences between the two groups.
Subgroup analyses did not yield significant
differences in program effects on any of the
outcome variables at the 12 - month follow - up.
There was also some variation
in data collection across sites, including
differences in how each pilot site defined certain
outcome variables.
When the dashed line falls below the solid line this indicates a reduction
in the strength of association between family adversity and child health when parenting
variables are added to the model suggesting that
differences in parenting across families with different levels of adversity explain some of the inequalities
in child health
outcomes.
When the dashed line falls below the solid line this indicates a reduction
in the strength of association between family adversity and child health when parenting
variables are added to the model suggesting that
differences in parenting across families with different levels of adversity explain some of the inequalities
in that health
outcome.
However, ethnic
differences emerged
in both the level of relationship quality
variables and
in their associations with
outcomes even after controlling for SES.
Chi square analyses and t - tests were conducted to examine potential
differences in the demographic, predictor, and
outcome variables as a function of accelerometer wear adherence (wearing the accelerometer for less than 4 versus 4 or more days).
They showed that, even with the effects of chronic stress statistically controlled, there were still
differences in the psychosocial
outcome variables among groups, and there was particular impairment
in children of unipolar mothers [30].
No gender
differences were found with respect to attachment to mother (χ 2 (1) =.003, p >.05) or father (χ 2 (1) =.26, p >.05), nor were there any effects of child age (entered
in a logistic regression with dichotomous attachment classification as
outcome variable) for mother B =.02, p =.67 and father B = −.03, p =.49.