In the JEM, items measuring the dimensions of job demands (5 items), job control (7 items), and social support at work (4 items) were identified by the factor analyses of all the items included in the survey [ 26].
These symptoms have been shown to be discriminated by factor analyses in the independent dimensions of interpersonal deficit, cognitive-disorganization deficit, and paranoid symptoms [ 7, 8].
First, we did not replicate the factor structure of the CTRS-R S by means of exploratory faCTRS-R Slyses of the 28 items.
The FFMQ was developed by Baer based on exploratory and confirmatory factor analyses of five existing questionnaires designed to explore constructs of mindfulness identified in prior research [ 45].
As a complementary analytical methodology used to avoid conducting a large number of statistical procedures and to analyze insight dimensions, the data was summarized by means of two separated 'principal component factor analyses' of baseline insight and of neuropsychological variables.
These data were analysed by three-factor analyses of variance (group × phase × ratio), with repeated measures on the second and third factors.
The highest completed ratio and the peak response rate (i.e. the highest overall response rate, corresponding to the peak of the response-rate function; see Fig. 2) were analysed by two-factor analyses of variance (group × phase).
Differences in sleep spindles were evaluated by four-factor Analyses of Variances (ANOVAs) for repeated measures with the within-subject factors spindle TYPE (fast spindles, slow spindles), HEMISPHERE (left, right), FRONT/CENT (frontal electrodes [F3, F4], central electrodes [C3, C4]) and the between-subject factor ENHANCEMENT (memory enhancers, memory non-enhancers).
These estimates were analysed by separate two-factor analyses of variance with reinforcer type as a between-groups factor and deprivation condition as a within-subject factor, followed, in the case of a significant interaction, by post hoc comparisons of the two groups within conditions, and the two conditions within groups, using Student's t-test.
These estimates were analysed by separate one-factor analyses of variance with treatment condition as a within-subject factor, followed, in the case of a significant effect of treatment, by comparison of each dose of THC with the vehicle-alone treatment using Dunnett's test.
