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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. This study was conducted with a mixed exploratory approach in two stages. In the qualitative part, using content analysis of in-depth interviews and using MaxQDA software, data from interviews with 16 university entrepreneurs who were purposefully and snowball selected were analyzed. The qualitative results showed that "entrepreneurial financial decision-making motivation" was identified as the main factor and three components including "tolerance of ambiguity in financial decision-making", "financial self-efficacy" and "entrepreneurial cognitive motivation". In the quantitative part, the resulting model was tested with data from 125 entrepreneurs located in the Science and Technology Park of the University of Tehran (simple random sampling from 185 people) and using structural equations and PLS software. The results of the model analysis showed a good fit at three levels of measurement, structural and general. The GOF index was obtained as 0.643, which indicates the high explanatory power of the model.


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