Psychometric Properties of the Hope Fatigue Scale (HOFAS)

Background The concepts of hope and hopelessness have been widely researched for decades. However, we believe that there is another mood that has been emerging in many people in various forms for a long time and can be conceptualized as hope fatigue. We believe that wars, economic problems, increasing uncertainty worldwide, and especially the COVID-19 process contributed to this mood. This paper aims to develop the Hope Fatigue Scale (HOFAS), to test its psychometric properties and to examine relationships between hope Fatigue, gratitude, self-Compassion and DAS. Methods This study has a descriptive and correlational design. In the first study, 606 individuals participated in the study (EFA = 309, CFA = 297). In the second research, 350 individuals participated in the study. We used the SPPS and AMOS package programs for data analysis. We use exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Pearson correlation analysis and discriminant criterion validity and Cronbach’s alpha methods for analysis. Results We used hopelessness, dispositional hope and life satisfaction scales for convergent and discriminant validity and found that values were statistically significant. The findings indicated that the unidimensional hope fatigue model had an acceptable fit (CFI = .92, TLI = .90, RMSEA = .069). We used the Cronbach’s alpha method for examining reliability values of this scale and found that these values were within acceptable limits (.96). After validating the latent scale structure we developed, we used the scale in another study. We determined that the HOFAS has good values and that hope fatigue has positive correlations with gratitude, self-compassion and negative correlations with depression, anxiety, and stress (DAS 21). As a result, the Hope Fatigue Scale, which we developed to measure hope fatigue, revealed a reliable and valid structure consisting of a single dimension and 24 items.