10.07.2015 Views

The Efficacy and Effectiveness of Online CBT - Jeroen Ruwaard

The Efficacy and Effectiveness of Online CBT - Jeroen Ruwaard

The Efficacy and Effectiveness of Online CBT - Jeroen Ruwaard

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3.2. Method 453.2.5 AnalysisIntention-to-treat. <strong>The</strong> analyses were conducted on an intention-to-treat basis.Dropouts, who did not complete the posttest measurements, were assumed to havegained nothing. <strong>The</strong>ir pretest scores served as posttest scores.Statistical significance. Two-tailed analyses <strong>of</strong> covariance (ANCOVAs) , using pretestscores as a covariate, were conducted to test the difference in means <strong>of</strong> the two groupsat posttest. <strong>The</strong> assumptions <strong>of</strong> ANCOVA were tested <strong>and</strong> found to be satisfied.<strong>The</strong> homogeneity <strong>of</strong> the regression coefficients in the two groups was confirmed bynon-significant interactions between the covariates (pretest scores) <strong>and</strong> experimentalcondition. Further, the distributions <strong>of</strong> the outcome variables were approximatelynormal (in the case <strong>of</strong> the DASS anxiety scores, normality was achieved by means <strong>of</strong> asquare root transformation), <strong>and</strong> the variance across the groups was homogeneous.To balance Type-I <strong>and</strong> Type-II errors, we controlled for multiple testing by controllingthe False Discovery Rate (FDR; Benjamini & Yekutieli, 2001). In this procedure,P-values are ordered ascendingly <strong>and</strong> then evaluated sequentially against ascendingcritical alpha levels, according to the formula a i = (a/m) * i, where i denotes the rank<strong>of</strong> the ordered P-values, <strong>and</strong> m denotes the number <strong>of</strong> tests). Alternatively, orderedP-values, multiplied by m * i, can be evaluated against the nominal α significancelevel, which is the approach taken in this article.Effect size. To express the magnitude <strong>of</strong> the effects, mean gain scores on the outcomemeasures were st<strong>and</strong>ardised to Cohen’s d (J. Cohen, 1988), representing the number<strong>of</strong> st<strong>and</strong>ard deviations separating the two means. Point estimates <strong>and</strong> 95% confidenceintervals <strong>of</strong> d were determined following a procedure described in detail by Robey(2004). In this procedure, effect sizes are calculated using the pooled st<strong>and</strong>ard deviation(<strong>of</strong> the pretest <strong>and</strong> posttest scores) <strong>and</strong> confidence intervals are approximatedfrom the central t-distribution.Clinical relevance. We tested the higher probability <strong>of</strong> statistically reliable individualrecovery after treatment compared to the control group with two-sided Fisher’s ExactTests (α = .05), <strong>and</strong> expressed this difference as odds ratios (OR; Hillis & Woolson,

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