Leila Shameli, Maryam Davodi, Shekoofe Mottaghi Dastenaee,
Volume 7, Issue 2 (11-2019)
Abstract
The purpose of this study was the effectiveness of acceptance and commitment therapy on logical memory and problem solving skill in people with multiple sclerosis. The research design was a quasi-experimental type with pretest-posttest and control group. The statistical population included all the individuals with multiple sclerosis of Ahvaz in 2018. Thirty of the patients were selected through purposive sampling and randomly divided into experimental and control groups, each congaing 15 subjects. They were then tested using the Wechsler Memory Scale –III and The Problem-Solving Inventory. Participants in the experimental group received ACT protocol in 6 sessions at 120-minute. The data were analyzed using multivariate analysis of covariance and SPSS-21 software. The results showed the effectiveness of acceptance and commitment therapy to improve logical memory and problem solving skills in the experimental group. Therefore, clinical MS specialists can use this treatment to enhance logical memory and problem solving skills in patients with MS.
Dr. Marzie Hashemi, Mrs. Mansoure Gholami,
Volume 11, Issue 4 (3-2024)
Abstract
The research was conducted with the aim of determining the relationship between thinking styles and decision-making styles with the mediation of problem solving among startup employees. The research was descriptive and correlational. The statistical population of the research included all employees in the field of startups in Tehran in 1401. 300 people were selected by available sampling method and responded to research tools including questionnaires of thinking style (Sternberg, 1994), decision making style (Scott and Bruce, 1995) and problem-solving skills (Heppner, 1988). Analysis of research data using descriptive statistics methods (prevalence, percentage, mean and standard deviation), Pearson correlation coefficient, multivariate regression and structural equation modeling and path analysis statistical method with SPSS-26 software and Amos is done. Based on the findings, the proposed model had a good fit in structural equations and causal relationships between the mentioned variables. In general, in the proposed model of the research, it was found that the decision-making style is related to the thinking style both directly and indirectly through the problem-solving skills of the startup employees (P<0.05). The results showed that there was a positive and significant relationship between problem solving skills and its dimensions with decision-making style (P<0.05) and between thinking style and its dimensions with decision-making style. The collected data are consistent with the desired structural model and have a good fit. Therefore, the relationship between thinking styles and decision-making styles is confirmed with the mediation of problem-solving skills in startup employees.
