2024-01-17, Kassis, Wassilis, Dueggeli, Albert, Govaris, Christos, Kassis, Maria, Dittmar, Miriam, Aksoy, Dilan, Favre, Céline Anne

By combining person-centered analysis with latent transition analysis (LTA) and adapting a navigation and negotiation perspective, we examined the effect of the COVID-19 pandemic on adolescents’ depression and anxiety levels as well as their adaptation and success in high school. Focusing on the navigation (individual adaptation) and negotiation (social adaptation) factors that contribute to school success, our data from a longitudinal study in Switzerland (wave 1 in autumn 2020, grade eight [n = 315]; wave 2 in spring 2021, grade eight [n = 257]) revealed four patterns: students with high levels in both dimensions (“thriving”), students with low levels in both dimensions (“demanding”), students with low negotiation but moderate to high navigation (“unsupported bloomers”), and students with high negotiation but low navigation (“encouraged non-achievers”). The “thriving” pattern had about three times more students than the “encouraged non-achiever” pattern did and about five times more students with a lower depression/anxiety profile than the “demanding” pattern did. Parental involvement and reading comprehension were identified as crucial factors in students’ academic achievement, with parental involvement being significantly associated with the “unsupported bloomers” pattern, suggesting that parents can compensate for the lack of teacher academic support and recognition and it can contribute to students’ academic success. Adolescents with high navigation and negotiation resources had higher reading comprehension scores compared to those with lower navigation and negotiation resources. Reading comprehension significantly influenced grades in language subjects and mathematics. The study emphasized the importance of individual and social adaptation factors in promoting academic success and personal growth in high school.

2023, Kassis, Wassilis, Vasiou, Aikaterini, Govaris, Christos, Favre, Céline Anne, Aksoy, Dilan, Graf, Ulrike

We investigated students’ resilience predictors during the COVID-19 pandemic. With a two-wave longitudinal sample (n = 713) of students from Greece, Germany, and Switzerland (eighth grade in autumn 2020 and ninth grade in autumn 2021), we determined which social and individual predictors longitudinally predicted resilience before and during the COVID-19 pandemic. We identified the high likelihood of individual factors (self-esteem, self-efficacy) fostering resilience by social factors (teacher, parents, and social resources). Multigroup structural equation modeling analyses demonstrated that the adolescent population was best typified by two growth trajectory classes: a low-anxiety class characterized by a low initial level of depression/anxiety and a high-anxiety class characterized by a higher initial level of depression/anxiety. The model was gender-, migration-, and country-invariant. Overall, the model showed that teachers overlook adolescents with high anxiety or depression levels, but parents support them more. These findings highlight the necessity to pay attention to students’ depression or anxiety symptoms and to satisfy their basic psychological needs, as vital prerequisites for their meaningful, coherent engagement in modern societies despite the odds.

2022-12-01, Kassis, Wassilis, Janousch, Clarissa, Sidler, Petra, Aksoy, Dilan, Favre, Céline Anne, Ertanir, Beyhan, Nazari, Nabi

Adolescence is a developmental stage with high risks in terms of psychological challenges and adjustments related to subjective well-being. Thus far, the findings reported a general decrease in school-related well-being over time. We considered well-being a multidimensional and latent construct that included both feeling good and functioning well at the individual level, and focused on the interplay between hedonic and eudemonic factors. Data of = 377 high school students in Switzerland were used by conducting an online longitudinal study with two waves. Baseline data was gathered in autumn 2019 and the subsequent time point occurred 1 year later (2020; grades seven and eight). By applying a person-oriented analytical approach via latent class and latent transition analyses, we were able to identify and compare longitudinally three distinct well-being patterns and the respective trajectories. Regarding the distribution of the well-being patterns for both waves, significant changes over time were identified: particularly from wave 1 to wave 2, where there was an increase for the low and high well-being patterns, yet a decrease for the middle pattern. Comparing the stability of the respective patterns over time, the high well-being level showed the highest stability of all identified patterns. Multinomial logistic regression of covariates to the identified latent status membership established for both waves showed low but significant effects of socio-demographic variables. At wave 1, having a migration background was associated with a significant increase of being in a low versus high well-being level pattern. At wave 2, being female was associated with a significant increase of being in a low versus high and in a middle versus high well-being pattern.