Evangelische Hochschule Nürnberg
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Measuring Motivational Concepts and Personality: Aspects in the National Educational Panel Study
(2019)
Dieses Kapitel stellt die Auswahl und den Einsatz von motivationalen Konzepten und Persönlichkeitsaspekten im Nationalen Bildungspanel vor. Die Konstruktauswahl basierte dabei auf Gemeinsamkeiten gängiger Motivations- und Persönlichkeitstheorien, um dadurch Forschungsarbeiten aus verschiedenen theoretischen Perspektiven anzuregen. Aufgenommen wurden Lernmotivation und Anstrengungsbereitschaft, persönliche Ziele, allgemeine Interessenorientierungen, Sachinteresse, Selbstkonzept (allgemein und domänenspezifisch), sowie Persönlichkeitsaspekte und ausgewählte Dimensionen sozialer Kompetenzen und des Erziehungsverhaltens. Bei der Auswahl der theoretischen Konstrukte und der zu deren Erfassung einzusetzenden Testverfahren stand die Anwendbarkeit über den gesamten Lebensverlauf hinweg im Vordergrund. Innerhalb des Nationalen Bildungspanels trägt diese integrierende Zusammenstellung von motivationalen Konzepten und Persönlichkeitsaspekten zur Verbesserung des Verständnisses von Bildungsprozessen und Kompetenzentwicklung von der frühen Kindheit bis ins späte Erwachsenenalter bei.
This chapter outlines the use and measurement of motivational concepts and personality aspects in the German National Educational Panel Study (NEPS). The selection of concepts combines elements that prevalent motivation and personality theories have in common, thereby promoting research from different theoretical perspectives. The constructs measured are learning motivation and effort, personal goals and goal pursuit, general interest orientations, topic-related interests, self-concept (both general and domain-specific), personality aspects, and selected social skills and parenting behavior dimensions. These theoretical constructs and their corresponding measurements presented in this chapter were chosen on the basis of their applicability across the complete life course. Within NEPS, this integrated compilation of motivational concepts and personality aspects improves our understanding of educational processes and competence development from infancy to late adulthood.
Zwischen den Forderungen des Europarats nach einem rechtlichen Leitbild gleichberechtigter, geteilter elterlicher Verantwortung nach Elterntrennung – Shared-Parenting im Sinne von Wechselmodell/ Doppelresidenz – auf der einen Seite und dem Erfolg (obligatorischer) Mediation auf der anderen Seite gibt es einen Zusammenhang. Anhand des australischen Modells erläutert Hildegund Sünderhauf diesen Zusammenhang und diskutiert die Übertragbarkeit auf Deutschland.
Krankenpflege
(2019)
Background Health information systems have developed rapidly and considerably during the last decades, taking advantage of many new technologies. Robots used in operating theaters represent an exceptional example of this trend. Yet, the more these systems are designed to act autonomously and intelligently, the more complex and ethical questions arise about serious implications of how future hybrid clinical team–machine interactions ought to be envisioned, in situations where actions and their decision-making are continuously shared between humans and machines.
Objectives To discuss the many different viewpoints—from surgery, robotics, medical informatics, law, and ethics—that the challenges of novel team–machine interactions raise, together with potential consequences for health information systems, in particular on how to adequately consider what hybrid actions can be specified, and in which sense these do imply a sharing of autonomous decisions between (teams of) humans and machines, with robotic systems in operating theaters as an example.
Results Team–machine interaction and hybrid action of humans and intelligent machines, as is now becoming feasible, will lead to fundamental changes in a wide range of applications, not only in the context of robotic systems in surgical operating theaters. Collaboration of surgical teams in operating theaters as well as the roles, competencies, and responsibilities of humans (health care professionals) and machines (robotic systems) need to be reconsidered. Hospital information systems will in future not only have humans as users, but also provide the ground for actions of intelligent machines.
Conclusions The expected significant changes in the relationship of humans and machines can only be appropriately analyzed and considered by inter- and multidisciplinary collaboration. Fundamentally new approaches are needed to construct the reasonable concepts surrounding hybrid action that will take into account the ascription of responsibility to the radically different types of human versus nonhuman intelligent agents involved.
Elterliche Trennungen
(2019)
Following Michael Lipsky's well‐known argument that policy is made in the daily encounters between street‐level bureaucracy and citizens, a growing body of research emphasizes that actors and organizations delivering social and labor‐market policy play a crucial role in welfare‐state politics. Using qualitative data collected at three local employment agencies in Germany, this article explores worker‐client relations as a crucial mechanism through which activation policies are translated into practice. The analysis investigates how caseworkers define their role and their relationships with clients. The findings show that it is essential for caseworkers to achieve client compliance. In such a context, building relationships of trust is a strategic instrument in overcoming possible barriers to co‐operation in the caseworker‐client interaction. Caseworkers develop strategies to create the impression of trustworthiness and to motivate both unemployed clients and employers to become trust‐givers in the caseworker‐client relation. While research has often stressed the dichotomy between disciplining and enabling elements of activation policies, our explorative study shows that persuasion and trust‐building are a further important dimension of the frontline delivery of activation policies. These strategies reflect the importance of emotional aspects of frontline work.
Theoretischer Hintergrund und Ziel der Studie Stigmatisierung psychischer Erkrankungen ist ein Faktor, der die Inanspruchnahme von Hilfe behindern kann. Für die hier untersuchte Gruppe der VeteranInnen der Bundeswehr gibt es zum gegenwärtigen Zeitpunkt keine Studienergebnisse bezüglich des Zusammenhangs zwischen Stigma und Inanspruchnahme gesundheitlicher Hilfe. Ziel dieser Studie ist es, einen Überblick über das Stigmaerleben in einer Stichprobe von VeteranInnen der Bundeswehr zu erhalten.
Methodik Es wurden 43 narrative Interviews mit VeteranInnen der Bundeswehr geführt. Die daraus gewonnenen Daten wurden in mehreren Codierungsschritten analysiert. Es wurde untersucht, ob das Stigmaerleben von VeteranInnen der Bundeswehr sich gut durch das theoretisch begründete Stigmamodell von Link und Phelan abbilden lässt. Erste Hypothesen zu Stigma und Inanspruchnahme von Hilfe in dieser Stichprobe wurden aus dem Datenmaterial entwickelt.
Ergebnisse Die Stigmamodell nach Link und Phelan bildet das Stigmaerleben in der untersuchten Stichprobe gut ab. Wahrgenommenes und internalisiertes Stigma, berufliche Benachteiligung und sozialer Ausschluss, aber auch befürchtetes Unverständnis für die militärische Vergangenheit auf dem zivilen Sektor wurden als stigmarelevante Hauptbarrieren bei der Inanspruchnahme von Hilfe berichtet.
Schlussfolgerungen Es wurden Empfehlungen für Interventionen zum besseren Umgang mit den bestehenden Stigmata gegeben.
Individuals decide to use healthcare when the expected benefits outweigh the perceived costs. One of these cost factors in this decision can be stigma. So far, it has not been researched how former soldiers of the German Armed Forces with a service-induced mental illness perceive stigma and how it influences their healthcare use. As stigma is shaped by the socio-cultural context, the setting of the potential healthcare use must be considered. Narrative interviews were conducted with 33 former soldiers with mental health problems. The data were analyzed using a thematic analysis approach, in which codes were formed and emerging themes were systemized. The relationship between stigma and healthcare use was analyzed. Occupational discrimination and social exclusion were experienced in both in the military and civilian context, but stigma functioned differently in each context. In the military context, former soldiers’ self-stigma of mentally ill individuals being weak was in stark contrast to their internalized military standards. This contrast let them avoid disclosure and subsequent healthcare use. In civilian context, the participants perceived 2 different stigma costs: mental illness stigma and former soldier stigma (i.e., stigmatization because of their military past). Both were perceived as barriers to healthcare use. A model, illustrating these different stigma costs in the different contexts, was developed. Further research on the link between stigma and healthcare use of this group is urgently needed.
Jeder zweite notärztlich versorgte Patient ist heute über 65 Jahre alt, viele davon Hochrisikopatienten. Ob eine Notfallbehandlung erfolgreich ist, hängt maßgeblich davon ab wie schnell eine sichere Diagnose gestellt und die Therapie begonnen werden kann. Informationsdefizite gefährden dabei die Patientensicherheit erheblich. Die Geriatric Emergency Department Guideline nennt klinisch relevante Informationen, die beim geriatrischen Patienten vorliegen sollten. Eine standardisierte Kommunikation an der Schnittstelle zwischen Notfall- und Primärversorgung würde die Patientensicherheit erhöhen. Der Informationsaustausch zwischen den Sektoren sollte mit Blick auf die zunehmende Digitalisierung elektronisch erfolgen.
Ältere Patienten, bei denen eine notfallmedizinische Versorgung nötig wird, sind vielfach gefährdet. Neben dem Akutereignis können fehlende Informationen über die Vorgeschichte, Betreuungssituation, Begleitkrankheiten und Medikation zu weiteren Komplikationen führen. Wie kann der Informationsfluss verbessert werden?
Das Projekt „Gesunde Südstadt“ hat den Schwerpunkt Gesundheitsförderung in den Lebenswelten. Es wurde im Rahmen des Programms „Gesunde Kommune“ der AOK Bayern initiiert und zielt auf einen Beitrag zur Verringerung der gesundheitlichen Ungleichheit im sozioökonomisch benachteiligten südlichen Bezirk der Stadt Nürnberg ab. Es werden bedarfsgerechte Präventions- und Gesundheitsförderungsmaßnahmen mit sozial benachteiligten Zielgruppen (Migranten, Geflüchtete, Erwerbslose) entwickelt und umgesetzt. Die Maßnahmen des Projekts orientieren sich an den Handlungsfeldern Ernährung, Bewegung und Stressmanagement des Leitfadens Prävention. Die Wirksamkeit des Projekts wird durch eine externe multiperspektivische, multimethodische Prozess- und Ergebnisevaluation untersucht.
A longitudinal pilot study on stress-levels in the crowdsensing mHealth platform TrackYourStress
(2019)
Background: The mobile phone app, TrackYourStress (TYS), is a new crowdsensing mobile health platform for ecological momentary assessments of perceived stress levels.
Objective: In this pilot study, we aimed to investigate the time trend of stress levels while using TYS for the entire population being studied and whether the individuals’ perceived stress reactivity moderates stress level changes while using TYS.
Methods: Using TYS, stress levels were measured repeatedly with the 4-item version of the Perceived Stress Scale (PSS-4), and perceived stress reactivity was measured once with the Perceived Stress Reactivity Scale (PSRS). A total of 78 nonclinical participants, who provided 1 PSRS assessment and at least 4 repeated PSS-4 measurements, were included in this pilot study. Linear multilevel models were used to analyze the time trend of stress levels and interactions with perceived stress reactivity.
Results: Across the whole sample, stress levels did not change while using TYS (P=.83). Except for one subscale of the PSRS, interindividual differences in perceived stress reactivity did not influence the trajectories of stress levels. However, participants with higher scores on the PSRS subscale reactivity to failure showed a stronger increase of stress levels while using TYS than participants with lower scores (P=.04).
Conclusions: TYS tracks the stress levels in daily life, and most of the results showed that stress levels do not change while using TYS. Controlled trials are necessary to evaluate whether it is specifically TYS or any other influence that worsens the stress levels of participants with higher reactivity to failure.
Mobile apps are increasingly utilized to gather data for various healthcare aspects. Furthermore, mobile apps are used to administer interventions (e.g., breathing exercises) to individuals. In this context, mobile crowdsensing constitutes a technology, which is used to gather valuable medical data based on the power of the crowd and the offered computational capabilities of mobile devices. Notably, collecting data with mobile crowdsensing solutions has several advantages compared to traditional assessment methods when gathering data over time. For example, data is gathered with high ecological validity, since smartphones can be unobtrusively used in everyday life. Existing approaches have shown that based on these advantages new medical insights, for example, for the tinnitus disease, can be revealed. In the work at hand, data of a developed mHealth crowdsensing platform that assesses the stress level and fluctuations of the platform users in daily life was investigated. More specifically, data of 1797 daily measurements on GPS and stress-related data in 77 users were analyzed. Using this data source, machine learning algorithms have been applied with the goal to predict stress-related parameters based on the GPS data of the platform users. Results show that predictions become possible that (1) enable meaningful interpretations as well as (2) indicate the directions for further investigations. In essence, the findings revealed first insights into the stress situation of individuals over time in order to improve their quality of life. Altogether, the work at hand shows that mobile crowdsensing can be valuably utilized in the context of stress on one hand. On the other, machine learning algorithms are able to utilize geospatial data of stress measurements that was gathered by a crowdsensing platform with the goal to improve the quality of life of its participating crowd users.
Mobile apps are increasingly utilized to gather data for various healthcare aspects. Furthermore, mobile apps are used to administer interventions (e.g., breathing exercises)to individuals. In this context, mobile crowdsensing constitutes a technology, which is used to gather valuable medical databased on the power of the crowd and the offered computationalcapabilities of mobile devices. Notably, collecting data withmobile crowdsensing solutions has several advantages comparedto traditional assessment methods when gathering data overtime. For example, data is gathered with high ecological validity, since smartphones can be unobtrusively used in everyday life. Existing approaches have shown that based on these advantages new medical insights, for example, for the tinnitus disease, can be revealed. In the work at hand, data of a developed mHealth crowdsensing platform that assesses the stress level and fluctuations of the platform users in daily life was investigated. More specifically, data of 1797 daily measurements on GPS and stress-related data in 77 users were analyzed. Using this data source, machine learning algorithms have been applied with the goalto predict stress-related parameters based on the GPS data of the platform users. Results show that predictions become possible that (1) enable meaningful interpretations as well as (2) indicate the directions for further investigations. In essence, the findings revealed first insights into the stress situation of individuals over time in order to improve their quality of life. Altogether, the work at hand shows that mobile crowdsensing can be valuably utilized in the context of stress on one hand. On the other, machine learning algorithms are able to utilize geospatial data of stress measurements that was gathered by a crowdsensing platform with the goal to improve the quality of life of its participating crowd users.
Andrea Nickel-Schwäbisch widmet sich in ihrem Buch dem Thema Geld aus biblischer und soziologischer Perspektive. In einem ersten Teil beschreibt sie auf spannende und fundierte Art, wie Geld entstanden ist und heute "funktioniert". Anhand ausgewählter Bibelstellen fragt sie dann in einem zweiten Teil danach, welche Rolle Geld in der Beziehung zwischen Gott und Menschen spielt und weckt das Bewusstsein dafür, das Geld schon immer auch eine spirituelle Komponente hatte. Entstanden ist ein tiefgründiges und kluges Buch mit überraschenden Einblicken in die Wechselbeziehung von Geld, Gesellschaft und Religion.