Sentences with phrase «mean effect size for»

In 57 controlled studies, outcomes were measured in more than 900 classrooms; the overall mean effect size for all outcome areas was 0.35.
Unfortunately, as a result of the dearth of the studies that have actually examined parenting styles, we were not able to calculate mean effect sizes for various parenting styles.
Given that the variables in the last category do not conceptually form a unity, we only described the results of these studies and computed mean effect sizes for each parenting behavior in this category if there are at least three studies.

Not exact matches

Black holes and multiple universes are an easy enough sell, but try the room temperature spin Hall effect on for size and you'll see what I mean.
The authors concluded that with the inclusion of studies with larger patient samples, the mean weighted effect size of rTMS directed at the left temporo - parietal area for AVH has decreased, although the effect is still significant.
The school - based research approach meant that causal influences could not be robustly identified; the quantitative component of the study primarily sought to provide an estimated effect size for any intervention that could be used in future trials.
To determine this effect size, the authors multiplied the standard deviation for each NAEP exam by the change in its z - score, a statistical term used to describe distance from the mean.
Despite its gradual roll out, all of this spending and effort had very little effect on student outcomes on Florida's state tests known as FCAT, according to a policy brief by the Brookings Institution titled, «Class Size: What Research Says and What it Means for State Policy».
Effect sizes (Cohen's d) for middle school students versus preservice teacher candidates were calculated by subtracting the mean of the second from the first and dividing the result by the pooled standard deviation (as in Cohen, 1988).
Mortgage broker Frank Napolitano says that means the size of mortgage many buyers will be able to qualify for will be less once the rules take effect on Oct. 17.
The second trick for dampening the effect of mean reversion is to take a bigger sample size.
According to the interview it will be double the size of the previous Mass Effect's DLC Leviathan, which was about 2 hours, which means Omega will probably be 4 hours.As said look for OMEGA to land on November 27th and will be on Xbox live for 1200 Microsoft points.
How important these fluctuations are depends on the Poisson mean, the size of the effect you are looking for and the level of confidence you require.
Effect size for the adjusted mean difference between each treatment was calculated by dividing the mean difference in test score by the square root of the within mean square error for the adjusted post-test score.
In our analysis of the standardised mean difference effect sizes, we will consider an effect to be clinically relevant, irrespective of statistical significance, by transforming the standardised mean difference effect sizes into common language effect sizes.24, 25 An example of transforming standardised mean difference effect size into common language effect size is shown in a meta - analysis of social skills group interventions for children with autism spectrum disorders by Reichow et al, 26 who showed the weighted mean effect size of d = 0.47 equated to a gain of 24 additional social skills for the treatment group compared with control.
Effect sizes were calculated as treatment minus control means for RCTs, and post-treatment minus pretreatment means for before and after studies, divided by the pooled standard deviation, and weighted by sample size.
ES calculations for cross-sectional analyses used calculations for standardized mean differences (d) that were conducted with the Practical Meta - Analysis Effect Size Calculator.38
Effect sizes (in standard deviation units) and means ± standard errors for continuous outcomes that correspond to those in Tables 3 and 4 where there were significant effects or trends for any treatment contrast.
Table 2 shows least - squares mean scores on primary and secondary outcome measures by condition, mean change scores from pretreatment to posttreatment, and within - group effect sizes for each group.
For the harsh discipline subscale, the adjusted mean difference of − 1.83 (95 % confidence interval − 3.12 to − 0.55; P = 0.005) corresponds to an effect size of − 0.22 (95 % confidence interval − 0.38 to − 0.07).
Between - group effect sizes were calculated by subtracting the mean change from pretreatment to posttreatment in the wait - list group from the mean change in the CBCT group, dividing by the associated pooled standard deviation, and adjusting for small sample size.
Controlled effect sizes are the differences between the mean 3 - month PTSD symptom scores for CT vs RA and SH vs RA, divided by the pooled SD of the 2 conditions compared.34
In 12 studies, participants who received active psychotherapy showed improvement at follow up (mean effect size 1.1, 95 % CI 0.9 to 1.3 for self report measures and 1.3, CI 0.8 to 1.8 for observer rated measures).
We performed comparisons of means using analysis of variance, with planned post hoc analyses by the Tukey honestly significantly different test; effect sizes were obtained using mean differences with associated 95 % confidence intervals (CIs) and also calculated using Cohen d for purposes of comparability with related studies.
Effect sizes for combining results are within treatment and therefore inflated by sources of bias (eg, type I error of diagnosis, regression to the mean, and improvements not from therapy).
Mean effect sizes for continuous outcomes were pooled using the generic inverse variance methods to give the standardised mean difference (SMD).
Results indicated pretest and posttest scores on the substance use and related problems showed slight improvements for both the SFBT and control groups based on the ASI - SR in all subscales, except for the family / relationship status subscale for control group which showed an increase in mean score and small effect size in the opposite desired direction.
The results of this study were as follow: First, the effectiveness of the attachment enhancement programs for children showed that the overall weighted mean effect size of.64.
This was done in CMA by first calculating the individual effect size for each study and then calculating the weighted mean effect size using the corresponding metric for each question.
We first examined a recent meta - analysis of cognitive behaviour therapy for adult depression.7 This meta - analysis included 46 comparisons between cognitive behaviour therapy (CBT) and other psychotherapies, with a mean effect size of d = 0.1.
Effect sizes were reported using standardised mean differences (Cohen's d) with 95 % CIs for continuous outcomes.
On CrimeSolutions.gov's Scoring Instrument for practices, internal validity is measured by the number of randomized controlled trials used to calculate the mean effect size.
We acknowledge that the variance estimate of the average synthetic effect sizes that are calculated should appropriately account for the correlation between the two outcomes, and we intend to report the correlation value, and the source / means of arriving at such a correlation if it is not reported within the primary study / studies.
The size of effect is described by the standardized difference (Cohen's «d») between means or proportions, and the association between treatment group and outcomes is described by the odds ratio for dichotomous outcomes and the correlation ratio (η) for continuous outcomes.
In sum, the strongest mean effect sizes were found for negative aspects of support such as neglect, hostility and rejection or combinations of these parenting behaviors (ESr ranges from 0.26 to 0.33).
However, they reported that participants who used chat as the primary mode of communication (eg, as opposed to email) had consistently higher means for the therapeutic alliance than did participants who used email (overall alliance, t13 = 1.54, P =.10, d = 1.13; agreement on task, t13 = 0.89, P =.37, d = 0.54; agreement on goals, t13 = 1.54, P =.12, d = 1.09; bond, t13 = 1.92, P =.07, d = 1.19), obtaining medium to large effect sizes.
These are very large effect sizes, but the choices for the means and standard deviations of the inertia parameters were based on substantive considerations, i.e., on which parameter values seem realistic for affect regulation.
The mean (± SD) score for low inhibitory control was 4.4 ± 0.6 (range: 2.0 — 5.0), and the mean score for high inhibitory control was 5.5 ± 0.4 (range: 5.1 — 6.8); the means differed with an effect size of 2.17.
STAI - Trait, STAXI anger expression and TCI Novelty Seeking mean scores also achieved notable post-therapy changes with a moderate effect size (from 0.53 to 0.77), although the difference for STAXI anger expression was not significant.
For example, Hampson et al.'s (2001) meta - analysis of interventions found very small effect sizes (mean = − 0.15) interventions on self - management among adolescents with type 1 diabetes compared with greater effects (M = 0.37) on psychosocial outcomes, such as family adjustment.
The grand study - level mean for all 207 interventions was 0.28 (CI = 0.25 — 0.29) Effect sizes: SEL skills 0.60, Academic performance 0.28, emotional distress 0.25, positive social behaviours 0.24, attitudes 0.23, conduct problems 0.20
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