Statistical analysis
SE
The data was put into an Excel spreadsheet (v. 2010, Microsoft Corporation, Redmond, WA, USA). IBM-SPSS software (IBM Corp., 2019) was used to enter and evaluate data. IBM SPSS Statistics for Windows, Version 26.0 (IBM Corp., Armonk, NY) N (%) was employed to represent qualitative data. The Chi-square test was employed to determine the relation between two nominal variables. The quantitative data was first checked for normality using the Shapiro-Wilk test, with the data considered normally distributed if p > 0.050. If the data was distributed normally, it was reported as the mean SD (or SE), otherwise as the median (Q1-Q3). For comparing non-normally distributed quantitative data between the three groups, the Kruskal-Wallis H-test was utilised. After adjusting for pre-intervention scores as variables, one-way analysis of covariance (ANCOVA) and its nonparametric counterpart (Quade’s rank ANCOVA) were used to compare post-intervention scores between groups. For analyzing the relationship between a dichotomous variable and a quantitative variable, point biserial correlation was utilized. To determine the direction and intensity of the link between two quantitative variables, Spearman’s correlation was utilized. Cronbach’s alpha was used for measuring internal consistency. If the p value was less than 0.050 for any of the tests conducted, the results were regarded to be statistically important. When necessary, appropriate charts were improved for graphically displaying the findings.