“…The study variables were described using descriptive statistics (frequency, percentage, range, median, mean and standard deviation [ SD ]). The construct validity of the ISOLA scale in the context of being isolated at home, which was hypothesised to be similar to the original version (Biagioli et al, 2019a), was tested through confirmatory factorial analysis (CFA) using a robust estimator (MLr). To evaluate the fit of the model, the following indices were considered: chi‐square ( χ 2 ), the root mean square error of approximation (RMSEA; values ≤0.06 indicate a good fit), the comparative fit index (CFI; values ≥0.90 indicate a good fit), the Tucker and Lewis index (TLI; values ≥0.90 indicate a good fit) and the standardised root mean square residual (SRMR; values ≤0.08 indicate a good fit) (Muthén & Muthén, 1998‐2017).…”