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Designing, Making and Evaluating Psychometric Characteristics of the Time Perception Pattern as Metaphorical Questionnaire Based on Cognitive- Dataset Analysis in Persians
Fatteme Raiisi, Maryam Moghadasin,
Volume 8, Issue 2 (10-2020)
Abstract
Time is an abstract concept that can be understood by conceptual or cognitive metaphors. A questionnaire based on dataset and qualitative analysis has not been designed in Persian yet to investigate the metaphorical perception of different source domains with various mappings. Therefore, the purpose of this study was to design, make and evaluate the psychometric characteristics of a time perception pattern as a metaphorical questionnaire based on cognitive dataset analysis among Persian speakers. The method of this study was descriptive and psychometric, and it was a survey type of research. For cognitive dataset analysis, a set of 28 contemporary Persian texts were first selected as a targeted sample and then 405 metaphorical expressions of time were extracted in 18 metaphorical mappings. It indicated source domains as object, matter, path and place, which are the most used time source domains. Based on cognitive dataset analysis, 41 questions with a Likert scale were made for the time perception pattern. The questions of this questionnaire were evaluated by 8 cognitive linguists and 2 psychometrics. Then, inappropriate questions were deleted and other questions were corrected or replaced, and at the end of the content, the validity index of the 30 remaining questions were calculated. This questionnaire was completed by 150 Persian speakers (with a bachelor’s degree and above) selected by at-reach sampling. The results showed that there was a reliability coefficient by using Cronbach’s alpha for the whole questionnaire and its components. Moreover, the results of factor analysis indicated that there were three factors of matter, place and object, which explained 37.12 % of the total variance. As a result, the time perception pattern as a metaphorical questionnaire is a valid and reliable instrument in the case of Persian speakers.

Content Analysis of Eating Disorders Metaphorical Posts in Cyberspace
Dr Fatteme Raiisi, Dr Mina Ryassi,
Volume 10, Issue 3 (volume10, Issue 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.
 
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