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Dr Fatteme Raiisi, Dr Mina Ryassi,
Volume 10, Issue 3 (3-2023)
Abstract

People with eating disorders express their eating pathology through metaphors. This research was conducted to explain and categorize eating disorder metaphorical posts in cyberspace. The method of this qualitative study was conventional and directed text content analysis, which was carried out by Shannon's entropy method in the period of September 2019 to May 2022. The population of this study included all messages and posts related to eating disorders that were posted or left comments on social networks. Due to the qualitative nature of this study, based on the rule of theoretical saturation and according to the opinion of experts in this field, 250 posts with psychological content were purposefully selected and analyzed. Then categories and subcategories were manually analyzed. Results indicated; metaphoric posts or messages related to eating disorders fall into two main categories of embodiment characteristics and non-embodiment metaphors source domains. On the other hand, each of these two main categories has subcategories that are separated from each other by cognitive and psychological characteristics. It seems; different messages and posts related to eating disorder metaphors need to be studied from different perspectives. Based on this, it is suggested that in future studies, these metaphorical posts should be examined according to the type of interventions effective on them.
 
Ghazal Golkar, Dr Khatereh Borhani, Dr Shahriar Gharibzadeh,
Volume 12, Issue 2 (9-2024)
Abstract

The purpose of this study is to investigate the effect of wearing a face mask on face perception in children with autism spectrum disorders. 18 children (13 boys, 5 girls) with high functioning autism and normal intelligence in the age range of 7 to 12 years old (Mage = 9.917, SD = 1.7342) participated in the research using an available sampling method. The participants in this research performed a face recognition and discrimination task that included familiar and unfamiliar faces for the child. During the task, the number and duration of fixations in the areas of interest (AOI) were recorded by an eye tracker. Finally, the dependent t-test method was used to analyze the collected data. The results showed that when comparing familiar and unfamiliar faces with face mask, as well as, when comparing familiar and unfamiliar faces without face mask, the number and duration of fixations in the different AOIs are not significantly different. Also, for familiar and unfamiliar faces separately, the number and duration of fixations in the eye area was not significantly different from the face mask area. The pattern of the results obtained from comparing familiar faces with and without face mask was similar to the pattern of the results obtained from the comparison of unfamiliar faces with and without face mask. Overall, the findings indicate that the face mask has a similar effect on the pattern of looking at familiar and unfamiliar faces. Furthermore, the way we look at the eye area is almost comparable to that of the face mask area.
 
Hasan Mahjoob, Mitra Ezati, Mohammad Babaei,
Volume 13, Issue 1 (6-2025)
Abstract

The aim of the present study was to design a cognitive motivation model related to the financial decisions of university entrepreneurs at the University of Tehran. The research method was exploratory mixed and using the content analysis method through the qualitative software Max-Quda. The field of study and participants were university entrepreneurs at the University of Tehran, 16 of whom were selected purposefully and snowballed and in-depth interviews were conducted. In the second stage of the research, the model designed in the qualitative stage was tested quantitatively. The statistical population of the study included 185 university entrepreneurs located in the Science and Technology Park of the University of Tehran, of which 125 were selected as a sample by simple random sampling. Structural equations and PLS software were used to examine the relationships expressed in the model. Findings: The qualitative results showed that "entrepreneurial financial decision-making motivation" was identified as a cognitive motivation factor and 3 components were identified as "tolerance of financial decision-making process uncertainties", "financial self-efficacy in decision-making", and "entrepreneurial cognitive motivation". In the quantitative part, the structural equation model was used for evaluation and showed that the model has a strong fit.


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