Factors contributing to interindividual variability
LME
EAR, SESSION
For each behavioural measure that showed differences between sessions in the previous set of analyses described, we performed an additional LME model to identify predictors of the difference. Given the limited sample size, we focused on four predictors: age, MoCA-HI score, best ear PTA4, and the SSQ speech scale. The choice of predictors was based on the hearing aid literature [Prior to the analyses, statistical assumptions were tested, including normality, residuals’ homoscedasticity, and influential outliers. If the distribution was considered normal, the LME method was chosen. If not, a generalized LME approach was used. Each model had the same structure. The models included the behavioural measure as the independent variable and the interactions between Session and each predictor as fixed effects (Performance ~ Session * Age + Session * MoCA-HI + Session * Better Ear PTA, Session * Speech SSQ). Participants were included as a random factor. All predictors were mean-centered. At most, two outliers were removed per model. Unstandardized (