Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7
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Browsing Scopus İndeksli Yayınlar Koleksiyonu by Language "tr"
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Article Citation Count: 0Child And Adolescent Mindfulness Measure Turkish Validity And Reliability Study;(Galenos Publishing House, 2024) Bilaç, Ö.; Dikeç, G.; Akyol, C.K.; Kale, M.K.; Sapmaz, Ş.Y.; Kandemir, H.; Aydemir, Ö.Objectives: The number of studies on mindfulness in children and adolescents has rised in recent years, and it is crucial to evaluate the mindfulness-based interventions applied with standardized measurement tools. This aim of this study was to make the Turkish language validity and reliability of the Child and Adolescent Mindfulness Measure (CAMM), which can be used in children and adolescents about mindfulness, which has been very well-liked in recent years, and which has validity and reliability in many languages, and to bring it into our language for the ages of 9-18. Materials and Methods: The total sample of the current study consisted of 156 children and adolescents, 48 of whom were children and adolescents with any mental disorderdiagnosis according to Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5). One hundred eight of them did not have any mental disorders diagnosis according to DSM-5, who had only periodic problems or were brought for counseling. Results: In the reliability analysis of the scale, the Cronbach’s alpha coefficient was found to be 0.76 for the whole scale. In test-retest reliability two weeks apart, the two measurements have a strong correlation between the measurements (r=0.634 p<0.0001). Conclusion: In conclusion, our findings show that the Turkish version of the CAMM is a valid and reliable measurement tool for the 9-18 age group. © 2024, Galenos Publishing House. All rights reserved.Article Citation Count: 5An Integrated Methodology Proposal for Sustainable Fashion: Understanding and Examining Criteria Affecting the Second-Hand Clothes Shopping(Gazi Univ, Fac Engineering Architecture, 2022) Usta, Saliha Karadayı; Kadaifci, Cigdem; Endüstri Mühendisliği BölümüSustainable fashion is an important movement that offers numerous benefits in the long run by questioning the actual needs of the consumer, selecting the natural fabrics, preferring the brands providing ethical working conditions for the employees, using the acquired clothes as long as possible, repairing when necessary, and recycling into yarn when the lifetime is over, or transforming into a new product by changing the function of the items. In this context, the most active role of consumers is to prefer quality products that can last for many years and to extend the time of the products remaining in use, especially through the purchase and sale of second-hand clothes. While current papers provide roadmaps based on conceptual details, and consumer perception and attitude, there is no comprehensive study in second-hand shopping practices specific to clothing. Hence, the aim of this study is proposing an integrated methodology to understand the criteria that consumers pay attention in second-hand clothes shopping platforms as a tool that makes sustainable fashion possible via literature review, individual interviews and text mining, to determine the weights of these criteria according to their importance via Step-Wise Weight Assessment Ratio Analysis (SWARA) methodology, and to compare the prominent platform alternatives via Weighted Aggregated Sum Product Assessment (WASPAS) technique. The criteria weights vary depending on the sustainability awareness of consumers, and on the generation gap.Article Citation Count: 2Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Tweets Related To Schizophrenia(Turkiye Sinir ve Ruh Sagligi dernegi, 2023) Dikeç, Gül; Oban, Volkan; Usta, Mirac Baris; Hemşirelik BölümüObjective: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in respect of stigmatization and discrimination within a one-month period and to conduct emotional analysis using artificial intelligence applications. Method: Using the keyword 'schizophrenia,' Turkish tweets were gathered from the Python Tweepy application between December 19, 2020 and January 18, 2021. Features were extracted using the Bidirectional Encoder Representations from Transformers (BERT) method and artificial neural networks and tweets were classified as positive, neutral, or negative. Approximately 5% of the tweets were qualitatively analyzed, constituting those most frequently liked and retweeted. Results: The study found that, of the total of 3406 schizophrenia-related messages shared in Turkey over a period of one-month, 2996 were original, and were then retweeted a total of 1823 times, and liked by 25,413 people. It was determined that 63.4% of the tweets shared about schizophrenia contained negative emotions, 28.7% were neutral, and 7.71% expressed positive emotions. Within the scope of the qualitative analysis, 145 tweets were examined and classified under four main themes and two sub-themes; namely, news about violent patients, insult (insulting people in interpersonal relationships, insulting people in the news), mockery, and information. Conclusion: The results of this study showed that the Turkish tweets about schizophrenia, which were emotionally analyzed using artificial intelligence were found often to contain negative emotions. It was also seen that Twitter users used the term schizophrenia, not in a medical sense but to insult and make fun of individuals, frequently shared the news that patients were victims or perpetrators of violence, and the messages shared by professional branch organizations or mental health professionals were primarily for conveying information to the public.Article Citation Count: 0Tween Jargon "mean Girls" and Beauty Bullying;(Cyprus International University, 2021) Güzel, EbruThe destructive emotions imposed on women by patriarchal ideology, such as dependence on appearance, vanity, narcissism, and competitiveness are also capturing girls; children under the age of 13 sharing adult-looking posts on Instagram under 2 million "tween" tags although it is illegal; cyberbullying and the words used in social media and the interaction of phrases with spoken language are the main problems of tween. In this study, grounded theory and in-depth interviews are used as a qualitative research method, beauty bullying is defined with the movie Mean Girls, and the "tween jargon" that can be clearly seen in social media is reflected in the spoken language. For example, words and abbreviations used by children such as tag, "break my scale", "send ss/dm", "bro/sis", "feno", "efso" are also used in daily language. As a result, the expression of tween jargon with the way of life of these children determines the increase of beauty cyberbullying, competition and language degeneration of this new girl culture. In addition, it is predicted that this study will contribute not only to the corruption of language but also literature in terms of childhood degeneration. © 2021 Cyprus International University. All rights reserved.