Investigation of illness acceptance, health perception and hopelessness levels in stroke survivors: A cross-sectional and correlational study
Description
The data were analyzed with SPSS 21.0 software. The Kolmogorov-Smirnov test was used to test the normality of the scale scores. Since the data were not normally distributed, Mann-Whitney U test was used for the difference analysis of binary independent variables, and One-Way ANOVA and Kruskal-Wallis tests were used for the difference analysis of multiple variables (p<0.05). When a significant difference was found in the ANOVA test, the LSD post hoc test was used to determine which groups the difference was between. Mann-Whitney U pairwise comparison test was used in the Kruskal-Wallis H test. Spearman's Rho correlation test was used to analyze the relationship between the scales. Confidence range was determined as 95% (p<0.05). Linear regression analysis was used to determine the regression between variables (p<0.05). Two regression models were developed by considering each of the values of acceptance and hopelessness as independent variables.
Files
Steps to reproduce
The data were analyzed with SPSS 21.0 software. The Kolmogorov-Smirnov test was used to test the normality of the scale scores. Since the data were not normally distributed, Mann-Whitney U test was used for the difference analysis of binary independent variables, and One-Way ANOVA and Kruskal-Wallis tests were used for the difference analysis of multiple variables (p<0.05). When a significant difference was found in the ANOVA test, the LSD post hoc test was used to determine which groups the difference was between. Mann-Whitney U pairwise comparison test was used in the Kruskal-Wallis H test. Spearman's Rho correlation test was used to analyze the relationship between the scales. Confidence range was determined as 95% (p<0.05). Linear regression analysis was used to determine the regression between variables (p<0.05). Two regression models were developed by considering each of the values of acceptance and hopelessness as independent variables.