## 2 Materials and Methods
### Statistical Analysis  
All continuous variables were analyzed for normality of distribution with the Kolmogorov-Smirnov (KS) test. The descriptive statistics of participants and their scores on the scales used are reported in Table 1. Between-side (dominant vs non-dominant) comparisons were also performed (related samples \(t\)-tests).  
The test-retest reliability was calculated using the two-way mixed effects absolute agreement single rater Intraclass Correlation Coefficient (ICC \({}_{2,1}\)) [26], the standard error of the measurement (SEM), and the minimum detectable change (MDC\({}_{99\%}\)) [27]. ICCs less than 0.5 were considered poor, 0.5-0.75 moderate, 0.75-0.90 good, and greater than 0.90 excellent [26]. The SEM and MDC\({}_{95\%}\), are indicators of the error level inherent within the measurement, with the SEM denoting the amount of variability inherent in repeated measurements, and the MDC representing the smallest amount of change that can be detected between two time periods that is not due to measurement error [27].  
For known-groups validity, test scores were compared between men and women, with independent samples \(t\)-tests; for convergent validity, test scores were correlated with age, the FSTS, the BBS, the LEFS, and the EDSS. Pearson's correlation values were considered very weak if below 0.20, weak if 0.20-0.39, moderate if 0.40-0.59, strong if 0.60-0.79, and very strong if above 0.80 [28; 29]. To test the discriminant validity, LEMOCOT test scores were correlated with the MMSE and compared according to the social history (living alone or not) [29]. An a priori sample size estimation was conducted to limit the possibility of incurring a type I error; therefore, for the eight hypotheses relating to the validity of the LEMOCOT (6 correlations and 2 between-group differences in interest), the adjusted a-level would be \(\alpha=0.005/8=0.00625\). This means that to achieve 80% power with a fair correlation of r = 0.44, the required sample size would be \(n=60\) participants. An online program for computing power and sample size for correlational designs ([[https://sample-size.net/correlation-sample-size/](https://sample-size.net/correlation-sample-size/)]([https://sample-size.net/correlation-sample-size/](https://sample-size.net/correlation-sample-size/)) (accessed on 1 June 2023)) [30] was utilized.  
All statistical analyses and processing were conducted with the IBM SPSS Statistics, v. 28.0 program. The significance level was set at \(\alpha=0.05\).  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline  & & **Mean (SD)** & **Min** & **Max** \\ \hline \multirow{3}{*}{LEMOCOT} & Dominant LL & 25.43 (13.52) & 3 & 55 \\  & Non-Dominant LL & 24.09 (14.32) & 1 & 57 \\ \hline \multirow{3}{*}{FSTS} & & 13.51 (5.92) & 5 & 35 \\  & & 55.18 (23.78) & 8 & 80 \\ \cline{1-1}  & & 46.02 (13.54) & 5 & 56 \\ \cline{1-1}  & & 28.33 (2.54) & 19 & 30 \\ \cline{1-1}  & & 2.33 (1.36) & 1 & 5 \\ \hline \hline \multicolumn{5}{c}{Median (IQR)} \\ \hline \hline \multicolumn{5}{c}{EDSS} \\ \hline \hline \multicolumn{5}{c}{2.00 (2.63)} \\ \hline \hline \end{tabular}
\end{table}
Table 1: Descriptive statistics of the first measurement taken for all scales used (\(n=60\)).