Publikationsserver der Katholischen Universität Eichstätt-Ingolstadt
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Der Rurale Konsolidierungsstaat : zu den Auswirkungen von Schuldenhilfen auf ländliche Kommunen
“What doesn’t kill you makes you stronger” : Professional quality of life in Ukrainian mental health care professionals during the ongoing war
Mental health professionals working in the context of war face unique and complex issues related to trauma, stress, and mental health. However, little is known about the Professional Quality of Life (ProQoL) of these professionals in Ukraine since the Russian invasion. Therefore, the aim of this study was to examine the levels and possible predictors of compassion satisfaction, burnout, and secondary traumatic stress (STS) among Ukrainian mental health professionals. A sample of 137 Ukrainian mental health professionals completed an online survey about their ProQoL and their attitudes toward evidence-based practice between May 2022 and February 2023. Data were analyzed descriptively and through multiple regression. Participants reported moderate to high levels of compassion satisfaction (M = 40.63, SD = 4.13) and low to moderate levels of burnout (M = 19.74, SD = 3.69) and STS (M = 19.64, SD = 4.32). Attitudes toward evidence-based practice were associated with stronger compassion satisfaction and weaker burnout and STS. While working in the context of ongoing war is intensely stressful, mental health professionals in Ukraine reported favorable levels of ProQoL. Dissemination of evidence-based treatments might help to further improve the well-being of professionals working in contexts of war
Kahlisch, Mareen: Ästhetik des Chaos : Beobachtungen zur Struktur der Narration in Luigi Pirandellos Novelle per un anno. Heidelberg, 2023
Universal approximation with complex-valued deep narrow neural networks
We study the universality of complex-valued neural networks with bounded widths
and arbitrary depths. Under mild assumptions, we give a full description of those
activation functions � : C → C that have the property that their associated networks
are universal, i.e., are capable of approximating continuous functions to arbitrary
accuracy on compact domains. Precisely, we show that deep narrow complex-valued
networks are universal if and only if their activation function is neither holomorphic,
nor antiholomorphic, nor R-affine. This is a much larger class of functions than in the
dual setting of arbitrary width and fixed depth. Unlike in the real case, the sufficient
width differs significantly depending on the considered activation function. We show
that a width of 2n + 2m + 5 is always sufficient and that in general a width of
max {2n, 2m} is necessary. We prove, however, that a width of n +m +3 suffices for
a rich subclass of the admissible activation functions. Here, n and m denote the input
and output dimensions of the considered networks. Moreover, for the case of smooth
and non-polyharmonic activation functions, we provide a quantitative approximation
bound in terms of the depth of the considered networks
Adaptive Metacognitive Prompting in Young Learners and the Role of Prior Performance
Metacognitive prompting has been shown to effectively support Self-Regulated Learning (SRL) in computer-based learning environments (CBLEs) and thereby enhance learning performance. Adaptive prompting as a way to successfully tailor prompts to the learners’ needs remains understudied, especially among young learners in lower secondary education who were shown to be in a critical phase in their development of metacognitive skills. The present study investigates the effects of adaptive, metacognitive prompting on SRL activities through self-reports and trace data, and on learning performance. In a pre-post experimental design, 72 lower secondary students received prompting (n = 38) or no prompting (n = 34). Results show that metacognitive prompting led to higher self-reported metacognitive SRL activities. It did not result in significant differences in learning performance, however, prior performance level was identified as a significant moderator. Implications for SRL research with focus on low achieving learners are discussed
Aufwachsen von Kindern gestalten
Im Sammelband werden Gestaltungen des Aufwachsens von Kindern unter den aktuellen gesellschaftlichen Bedingungen betrachtet. Im Zentrum stehen Individuen sowie Institutionen und deren Akteur:innen, die in den gegenwärtigen Wandlungsprozessen der Digitalisierung, Institutionalisierung und Diversifizierung an verschiedenen Orten und in verschiedenen sozialen Zusammenhängen wirksam werden. Die Beiträge befassen sich mit strukturellen und organisationskulturellen Bedingungen, räumlich-materialen Gegebenheiten und Strukturierungen, Digitalisierungsprozessen und der Lebenswelt Familie
Can Brand Activism Benefit Luxury Brands?
Brands are increasingly taking an active stance on divisive socio‐political issues such as racial justice, transgender rights, gun control, and international conflicts (e.g., the Ukraine‐Russia war). Due to its polarizing nature, brand activism can be a risky strategy, and it is not yet understood how consumers react to brand activism conducted by luxury firms. We propose that activism by luxury brands can act as a novel form of marketing communication that leads to favorable brand outcomes. In four studies (and one pre‐test), we demonstrate the positive effect of luxury activism on consumer purchase intentions and brand evaluations. The effect, to an important extent, is driven by self‐expressive value perception, which enhances the brand's luxury perception, resulting in enhanced purchase intentions. We validate the proposed framework by examining various activism topics (the Ukraine‐Russia war, abortion rights, the “Black Lives Matter” movement). The findings further demonstrate that the effect of brand activism is contingent upon consumer political identity. Specifically, this effect holds for liberal consumers but not for conservative consumers due to the symbolic benefits the former derive from activism, which can manifest in higher purchase intentions
Dispositional Forgiveness and Mental Health and Well-Being : Adaptation of the Toussaint Forgiveness Scale in Georgia and Cross-Cultural Comparison with Poland
Forgiveness is a multidimensional phenomenon that often functions as a disposition; it is closely linked to psychological well-being and religion/spirituality. However, no validated instruments have been available to assess forgiveness in the Georgian context. This study aimed to adapt the Toussaint Forgiveness Scale (TFS) for use in Georgia and to examine cross-cultural patterns of forgiveness and mental health among Georgian Orthodox Christians and Polish Roman Catholics. Methods: Study 1 (N = 321) validated the Georgian TFS using confirmatory factor analysis and assessed its convergent validity with perceived stress and religiosity. Study 2 applied structural equation modeling to analyze associations between forgiveness dimensions and mental health indicators in Georgian (n = 110) and Polish (n = 111) samples. Results: The Georgian TFS showed good psychometric properties. In both groups, self-forgiveness was associated with lower depressive symptoms; in Georgia, it also predicted higher quality of life. Forgiveness by God predicted reduced anxiety and depression in Georgia but not in Poland. Although path patterns varied, overlapping confidence intervals suggest no significant between-group differences. Conclusions: Forgiveness supports mental health across cultures, especially self-forgiveness. Its expression may show subtle, culturally nuanced patterns, though these require cautious interpretation
Which insights can research on achievement motivation gain from network analysis? : Comparing different network methods empirically
Research on learning and achievement motivation often relies on the analysis of multivariate covariance with structural equation models. Recently, network analyses have been proposed as alternative or additional analytical methods with the potential to provide novel insights to motivation research. However, there are many different versions of network analyses, many different kinds of data and calculations that can be fed into and illustrated by a network, and it remains so far unclear which kind of network will provide which kind of insight to the psychology of motivation. In this article we, first, give an overview of different versions of network analyses and the kinds of research questions they potentially address. Second, we empirically compare four network analysis methods by analyzing one data set with these four approaches to compare which kinds of insights one method provides and the other possibly overlooks. We used self-report data of expectancy–value appraisals collected from N = 309 first-year university students. We chose six task value facets of intrinsic, attainment, and utility value (one facet each) and cost value (three facets) along with expectancy to represent aspects of achievement motivation specified in Eccles and Wigfield’s expectancy–value theory. These were analyzed as nodes in four different network analyses: (a) using zero-order correlations as edges, (b) using partial correlations as edges, (c) using intraindividual coendorsements, and (d) corejections among the facets. We demonstrate that conclusions about associations can differ between different network approaches and that the specific research question should determine which network to choose
Innenansichten und Tiefenbohrungen. Zum Verhältnis von Recherche-Podcasts und Medienjournalismus
Wie nah sind sich Recherche-Podcasts und Medienjournalismus? Es gibt immer mehr Audio-Formate, die mit medialen Reflexionen einen retrospektiven Erzählweg einschlagen, doch dadurch sind die klassischen Kriterien eines aufklärerischen Medienjournalismus noch nicht zwangsläufig erfüllt. Lars Gräßer und Steffen Grütjen unternehmen einen Analyseversuch mit einschlägigen Beispielen und Perspektiven von Medienjournalistinnen und -journalisten