The prevalence of major depressive disorder (MDD) is growing worldwide, and experiencing violent victimization, especially during childhood, worsens its symptoms and raises the likelihood of being...Show moreThe prevalence of major depressive disorder (MDD) is growing worldwide, and experiencing violent victimization, especially during childhood, worsens its symptoms and raises the likelihood of being victimized again. This study assessed the impact of different forms of child abuse (physical, emotional, sexual) on depressive symptoms in patients with MDD and a recent history of victimization, and whether gender moderates this relationship. Additionally, it investigates whether Internet Emotion Regulation Training (iERT) as an addition to Treatment as Usual (TAU) can reduce emotion regulation difficulties and depressive symptoms in the same population. 153 patients filled in questionnaires and the hypotheses were tested by a hierarchical regression analysis and two repeated measure ANOVAs. Regarding the first research question, a significant association was found between depression and physical- and emotional child abuse, but not sexual abuse. This effect was not moderated by gender. Regarding the second research question, no significant effect was found of adding iERT to TAU on either emotion regulation difficulties or depressive symptoms.Show less
Since the emergence of Generative AI-powered (GenAI) chatbots, their potential impact on education has been widely discussed in academic and educational fields. This study explores students’...Show moreSince the emergence of Generative AI-powered (GenAI) chatbots, their potential impact on education has been widely discussed in academic and educational fields. This study explores students’ acceptance and use of GenAI chatbots, by examining the relationship between their perceptions and usage. Additionally, the study investigates potential gender differences in these perceptions and usage patterns. A correlational study was conducted using online questionnaires distributed among higher education students in the Netherlands. Only students with experience using GenAI chatbots for educational purposes were included. The sample consisted of 134 students, with an average age of 22.64 years (SD = 5.145). Among them, 35 were men, 97 were women, and two identified as ‘other’. Most students were enrolled in behavioral and social sciences, as well as education and upbringing programs. Multiple regression analysis revealed that perceptions (performance expectancy, effort expectancy, perceived risk, and anxiety) and gender predicted 21 percent of the variance in behavioral intention. These perceptions, along with gender and type of education, accounted for 16.8 percent of the variance in actual usage frequency. Performance expectancy for study in general (PEa) was the strongest predictor in both models, showing a positive effect on both behavioral intention and usage frequency, while other predictors did not significantly enhance the prediction. The study also found gender differences. Men used the chatbot more frequently than women and reported less difficulty interacting with GenAI chatbots, while women expressed more concerns about potential consequences. Based on the results, several recommendations for educational institutions are suggested. Institutions should clearly inform students about how GenAI chatbots work, provide training on how to use them effectively, and promote the importance of academic integrity. These measures can help reduce gender disparities and alleviate concerns, allowing all students to benefit from this emerging technology.Show less
Research master thesis | Psychology (research) (MSc)
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The link between anxiety in parents and children is well established, yet the physiological correlates of this intergenerational link in anxiety remain underexplored. This study examines the...Show moreThe link between anxiety in parents and children is well established, yet the physiological correlates of this intergenerational link in anxiety remain underexplored. This study examines the physiological correlates of emotion processing between parents and children. The primary aim of the current study was to explore the link between parents' and children's pupil responses to negative versus positive expressions. The secondary aim was to study the links of parental anxiety to the child’s pupil responses to emotional expressions. A community sample of 90 children (8–12 years old, M = 10.13, SD = 1.32, 47 girls) and their parents (47 mothers) viewed positive and negative dynamic facial expressions while an eye-tracker recorded their pupil dilation. Parents were asked to fill out a questionnaire about their anxiety. Both parents and children exhibited stronger physiological responses to fearful and sad faces compared to happy faces, suggesting heightened arousal to these negative emotions. In contrast only parents, but not children exhibited a significantly stronger physiological reaction to anger. The link of parental anxiety to children's pupil responses varied by emotion type. The strength of the link between parental anxiety and pupil responses was the strongest for fearful expressions, followed by happy and sad expressions, and weakest for angry expressions. The study is the first to show a link between the physiological correlates of emotion processing between parents and children and support the idea that parental anxiety explains variance in child emotion processing.Show less
