Computational protocol: Design of a Web-based individual coping and alcohol-intervention program (web-ICAIP) for children of parents with alcohol problems: study protocol for a randomized controlled trial

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Protocol publication

[…] This trial is designed to detect a medium or larger effect size, corresponding to a standardized mean difference (Cohen's d) of > 0.5 []. An a priori calculation of the estimated sample size, using the software G*Power [] reveals that it is required that a total of 128 participants (64 in each group) enroll in the trial (power = 0.80, α = 0.05, 2-tailed). However, in a pilot study of a web-based intervention aimed at young people having at least one parent diagnosed with a psychiatric or multiple psychological disorders, or an addiction problem, the attrition rate was found to be 28% []. Assuming a similar attrition rate of 30%, we therefore need to enroll a minimum of 128/(1-0.3) = 183 participants in the trial. [...] In addition to per protocol analysis, data will be analyzed according to the intention-to-treat principle, and all randomized participants will subsequently be included irrespective of whether or not they stayed in the trial. Missing data will be handled by applying the technique of multiple imputation using the Missing Value Analysis routine in the SPSS software (IBM SPSS Statistics 20, IBM Corporation).Data analyses consist of comparing outcome measurements, at the baseline and subsequent follow-up assessments, within groups and between groups. The effects of the web-ICAIP will be estimated using Cohen's d where a value of around 0.2 indicates a small effect size, and values around 0.5 and 0.8 indicate a medium and large effect size, respectively []. […]

Pipeline specifications

Software tools G*Power, SPSS
Application Miscellaneous
Organisms Homo sapiens
Diseases Alcoholism