Data Analysis and Treatment
Non-compliance with the normal distribution of variables was checked using the
Kolmogorov-Smirnov test, adopting a significance level of 5% and a 95%
confidence interval for all tests. Softwares R version 3.5.1 and SPSS version
1.1.0 were used for data analysis. Qualitative variables were summarized by
absolute (n) and relative (%) frequencies.To compare older adults’ sleep quality older adults before and after the
educational intervention, descriptive statistics were used, using medians and
interquartile intervals, as measures of central tendency and dispersion,
consecutively. For pre- and post-test comparison (intragroup), Wilcoxon was used
for numerical variables and chi-square to compare the proportion for categorical
variables. McNemar’s chi-square verified change in status of the groups’
categorical variables, separately. Comparison of the intergroup sleep quality
index of numeric variables used Mann-Whitney, and categorical variables, the
chi-square, for proportion.