Analysis
Descriptive statistics were conducted on all measures with frequencies
used to examine the most frequent contact, pathway chain, and the
frequencies of each contact along the pathway. All variables were
assessed for normality, linearity and homoscedasticity. Overall delay in
treatment and number of contacts were significantly skewed, and
non-parametric statistics were employed. Spearman’s correlations were
conducted to examine the relationship between the number of pathway
contacts and overall delay in weeks.
Additionally, three multiple regression analyses were conducted in SPSS
(IBM Corp., 2022) one for each dependent variable: 1) onset duration; 2)
treatment delay duration; and 3) help-seeking delay. For all regressions
the following variables were included: caregiver familiarity (Caregiver
MH treatment and Caregiver suicidality), the age of young person, young
person’s gender and caregiver gender. Next moderation was conducted for
each moderator separately (age and gender) for each of the dependent
variables using PROCESS for SPSS (Hayes, 2013).
Prior to interpreting the results of the regression, several assumptions
were evaluated, and results indicated that normality, linearity,
homoscedasticity of residuals, multicollinearity and assessment for
multivariate outliers supported assumptions of the analyses. Descriptive
analysis (Table 2) revealed outliers. Therefore, a sensitivity analysis
was conducted to determine whether results were affected by including,
excluding or adjusting the highest time durations (outlier) in the
regression findings. The results showed similar patterns of predictors
and statistical significance irrespective of inclusion or exclusion of
outliers for the time duration variables. Thus, we report the results of
the regression with all duration scores as reported and unchanged (i.e.,
including outliers).