Statistical analyses
REGRESSION, DELETION
Preliminary analyses were undertaken to prepare the specific statistical techniques to address the research question. All variables were checked for errors, outliers, normality of distribution, variance, and missing data. Within the variables higher education, duration of problems, and immigrant background, we found some missing data (< 3%). Missing data were handled by listwise deletion in the regression analyses. Logistic regression was considered the most appropriate analysis as the dependent variable was dichotomous [To examine possible relationships between dropout as a dependent variable and client factors as independent variables, we first did bivariate logistic regression analyses for nine variables of relevance according to the literature. Of sociodemographic variables, these were age, sex, immigrant background, work status, level of education, and social support. Of clinical variables, these were symptom severity, duration of problems, and daily function.The independent variables reaching