Investigation of illness acceptance, health perception and hopelessness levels in stroke survivors: A cross-sectional and correlational study

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.