BEYKOZ GCRIS Basic Database
BEYKOZ GCRIS Basic Database, which is a part of Beykoz University Research Ecosystem, is an Institutional repository at international standards that allows searching and discovering all research outputs.
Recent Submitted Publications
The Factor Structure of Formal Thought Disorders in Individuals with Ultra-High for Psychosis and Its Associations With Clinical and Neurocognitive Findings
(Wiley, 2025) Guliyev, Ezgi Ince; Ceylan, Melis; Turkoglu, Cagla Ceren; Noyan, Handan; Ucok, Alp
Beden Algısı Bozukluğu ve İşlevsellik Ölçeği: Geliştirme, Geçerlik ve Güvenirlik
(2025) Yılmazer, Eda
Bu çalışmada, beden algısındaki bozulmaların ve bunların bireyin günlük işlevselliğine etkilerinin bütüncül biçimde değerlendirilebilmesi amacıyla Beden Algısı Bozukluğu ve İşlevsellik Ölçeği (BABİÖ) geliştirilmiştir. Ölçek geliştirme süreci kapsamlı literatür taraması ve uzman görüşleriyle oluşturulan 198 maddelik havuzdan başlayarak, pilot uygulamalar ve açımlayıcı faktör analizi ile 21 maddeye indirgenmiş ve üç alt boyut altında yapılandırılmıştır: bilişsel-duygusal belirtiler, görünüm odaklı davranışlar ve işlevsel kaçınma. Ana örneklemde (N = 723) doğrulayıcı faktör analizi, yüksek iç tutarlılık (α = 0.94) ve test-tekrar test güvenirliği (r = 0.82) elde edilmiştir. BABİÖ’nün BIDQ-S, SGKÖ ve MDDI ile anlamlı korelasyonlar göstermesi yakınsak geçerliği desteklemiştir. Ayrıca ayırt edici geçerlik analizlerinde gruplar arası fark anlamlı bulunmuştur. Bulgular, BABİÖ’nün beden algısı bozukluklarını ve bunların işlevsel yansımalarını değerlendirmede geçerli ve güvenilir bir ölçüm aracı olduğunu ortaya koymaktadır.
Green Marketing and Repurchase Intention in the Airline Industry: The Mediating Role of Electronic Word-of-Mouth
(Multidisciplinary Digital Publishing Institute (MDPI), 2026) Beğendik B.; Karadeniz S.
The aviation industry faces increasing pressure to reduce its environmental footprint, prompting airlines to adopt green marketing practices that align with sustainability goals. Grounded in the Elaboration Likelihood Model (ELM), this study investigates the influence of green marketing on consumers’ repurchase intentions, with electronic word-of-mouth (e-WOM) as a mediating factor. An online survey was conducted among 390 airline passengers in Turkey, and the data were analyzed using structural equation modeling. The results indicate that green marketing significantly enhances both e-WOM and repurchase intention. Additionally, information quality and credibility exert significant effects on e-WOM and make a modest direct contribution to repurchase intention. While e-WOM is positively associated with repurchase intention, its mediating role in the relationship between green marketing and repurchase intention is not statistically supported. These findings suggest that e-WOM functions as a reinforcing rather than a transmitting mechanism linking green marketing to repurchase intention. The model explains 68.9% of the variance in repurchase intention and 18.9% in e-WOM. The study contributes by integrating green marketing, e-WOM, and information characteristics within an ELM-based framework for the airline context, offering actionable insights for sustainability-oriented marketing strategies. © 2026 by the authors.
Enhancing Teacher Candidates' Skills in Developing Game-Based Learning Applications
(Çukurova University, 2025) Alagoz, Abdullah; Uysal, Omer
The integration of technology into education has led to a broadening of the range of instructional activities. Among these, digital educational games, which resonate with Generation Z, stand out. These games introduce innovations in teaching by improving knowledge retention and providing engaging learning experiences both in and outside of the classroom. It is essential for educators to adapt to these innovations. This study aims to explore the views of prospective teachers in Turkey on game-based learning tools and assess the effectiveness of a specially designed instructional program for educational digital games. The research was carried out with 13 prospective teachers from the Department of Computer Education and Instructional Technologies at Uluda & gbreve; University Faculty of Education. Employing a mixed-methods approach, a distinct instructional program was created to equip participants with the skills necessary to develop educational digital games using the GDevelop software. In the quantitative dimension of the study, pre-tests and post-tests were administered to evaluate the reliability and validity of the achievement test, and data analysis was performed accordingly. In the qualitative phase, participants were interviewed at the end of the study using a semi-structured form containing 14 questions. The findings revealed that the Wilcoxon signed-rank test applied in the quantitative analysis showed a statistically significant improvement in the participants' abilities to develop educational digital games, confirming the effectiveness of the instructional program. Qualitative data analysis highlighted that participants felt the study had enhanced their ability to develop game-based learning applications. They noted that the specially designed games aligned with the instructional program could serve as effective tools to reinforce learning, capture students' attention, and boost motivation. Moreover, the program was found to support the development of 21st-century skills, while enhancing teachers' capabilities in game design and problem-solving. From the students' perspective, the developed games were perceived as motivating, enjoyable, and engaging.
Emotion Regulation and Visual Attention in Body Dysmorphic Disorder: A Multimodal Study Using EEG, GSR, and Eye-Tracking
(BMC, 2026) Ulker, Selami Varol; Cinaroglu, Metin; Yilmazer, Eda; Sayar, Gokben Hizli
BackgroundBody Dysmorphic Disorder (BDD) is a psychiatric condition characterized by obsessive preoccupation with perceived physical flaws, often accompanied by emotional dysregulation and attentional biases. Despite increasing clinical recognition, the neurophysiological and attentional mechanisms underlying BDD remain poorly understood.MethodsThis study employed a multimodal experimental design to compare individuals with BDD (n = 27) and healthy controls (n = 27). Participants completed standardized psychometric assessments and were exposed to emotionally valenced facial and body-related images while undergoing electroencephalography (EEG), galvanic skin response (GSR), and eye-tracking. Group-by-valence interactions were analyzed using mixed-model ANOVAs.ResultsThe BDD group showed significantly higher depression, anxiety, body image disturbance, and suppression scores, alongside reduced cognitive reappraisal and self-efficacy. EEG analyses revealed increased N170 amplitudes, attenuated P300 amplitudes, and greater right-sided frontal alpha asymmetry, suggesting early hypervigilance, reduced evaluative processing, and affective withdrawal. GSR data indicated heightened sympathetic arousal and delayed physiological recovery. Eye-tracking data descriptively indicated gender-specific attentional patterns within the BDD group, with females allocating greater visual attention to facial and lower-body regions and males showing increased fixation on muscular upper-body features; such patterns were not observed in the control group.ConclusionBDD is associated with dysregulated multisystem responses to appearance-related stimuli, characterized by neural hyperreactivity, impaired cognitive-emotional regulation, and gender-related patterns of visual attention. These findings support the utility of integrating psychophysiological and attentional markers into individualized assessment and intervention strategies for BDD.Clinical trial numberNot applicable.