cognitive failures

Background: The aim of the present study was to predict cognitive failures in the elderly based on personality dimensions and lifestyle and examine the mediating role of negative emotions as a model. Materials and Methods: This research is of correlation type and its statistical population included all the elderly in Tehran. In the present study, 150 elderly persons participated by convenience sampling method. Research instruments were cognitive failures, Eysenck Personality Inventory, lifestyle scale and Negative emotions. In order to analyze the data, the path analysis and stepwise regression analysis were used. Results: The results showed that personality dimensions and lifestyle can significantly and negatively predict emotions and cognitive failures and finally with respect to the proposed model, it was found that lifestyle and personality dimensions could significantly predict cognitive failures through the mediation negative emotions. Conclusions: The result obtained from this study can be used to identify the groups vulnerable to cognitive failures and make necessary recommendations to the experts to understand the causes and etiology, consultation and prevention of cognitive failures.

This study investigated the comparison of cognitive failures, emotional processing and resilience among the girl students with and without test anxiety. The present research is a causal-comparative study. The sample of study was 203 students studying tenth and eleventh grade in Rasht in 2019. 92 students of this sample were with test anxiety and 111 students of it were without test anxiety. The sample of study has been identified and selected from students by cluster sampling with the cutoff point of 50. The students completed Spielberger Test Anxiety Questionnaire, Baker’s Emotional Processing Scale and Connor-Davidson Psychological Resilience Scale. The data was analyzed by multivariable analysis of variance. Results showed that the students with test anxiety have higher scores in cognitive failures, also they have higher scores in emotional processing and lower scores in resilience than students without test anxiety. These results show that cognitive failures, emotional processing and resilience have determinant role in test anxiety.

This study aims to investigate the relationship between cognitive failures, sense of coherence, and academic resilience in children with speech impairments. The objective is to determine how cognitive and psychological factors predict resilience in this population. A cross-sectional design was employed, involving 376 children with speech impairments, aged 8 to 12 years. Participants were recruited from special education centers and mainstream schools. Academic resilience, cognitive failures, and sense of coherence were measured using the Academic Resilience Scale (ARS-30), Cognitive Failures Questionnaire (CFQ), and Sense of Coherence Scale (SOC-29), respectively. Pearson correlation analysis examined the relationships between variables, and linear regression analysis determined the predictive value of cognitive failures and sense of coherence on academic resilience. Data analysis was conducted using SPSS version 27. Descriptive statistics indicated moderate levels of academic resilience (M = 78.45, SD = 11.32) among participants. Cognitive failures (M = 43.29, SD = 9.87) negatively correlated with academic resilience (r = -0.56, p < .001), while sense of coherence (M = 65.14, SD = 10.45) positively correlated (r = 0.63, p < .001). The regression model was significant (F(2, 373) = 173.27, p < .001), explaining 48% of the variance in academic resilience (R² = 0.48). Cognitive failures (B = -0.45, p < .001) and sense of coherence (B = 0.59, p < .001) were significant predictors of academic resilience. The findings underscore the significant roles of cognitive failures and sense of coherence in predicting academic resilience in children with speech impairments. Interventions targeting cognitive improvement and psychological support can enhance resilience, thereby promoting better academic outcomes. Future research should explore longitudinal trajectories and the effectiveness of specific interventions to further support these children.