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Institute
Background: Intrusive mental imagery (MI) plays a crucial role in the maintenance of posttraumatic stress disorder (PTSD) in adults. Evidence on the characteristics of MI in adolescents suffering from PTSD is sparse. The aim of this study was to thoroughly assess MI in an adolescent sample suffering from PTSD after the experience of childhood sexual abuse and/or childhood physical abuse (CA).
Methods: Thirty-two adolescents with a primary diagnosis of PTSD after CA and 32 adolescents without any mental disorder and without a history of CA, matched for age and gender, completed questionnaires assessing the characteristics of negative and positive MI, as well as images of injury and death that lead to positive emotions (ID-images).
Results: The PTSD group reported significantly more frequent, more vivid, more distressing and more strongly autobiographically linked negative MI compared to the control group. Although positive MI was highly present in both groups (PTSD: 65.6%; controls: 71.9%), no significant differences emerged between the two groups regarding the distinct characteristics of positive MI. The frequency of the ID-images did not significantly differ between the two groups (PTSD: 21.9%; controls: 9.4%), although the ID-images were more vivid in the PTSD group.
Discussion: Negative MI appears to be crucial in adolescent PTSD, whilst positive MI are unexpectedly common in both the PTSD and the control group. The role of positive MI as well as that of ID-images remain unclear. Specific interventions for changing negative MI that are tailored to the developmental challenges in adolescents with PTSD should be developed.
Trial registration: Some of the PTSD patients in this study were also part of a randomized controlled trial on Developmentally adapted Cognitive Processing Therapy (D-CPT). This trial was registered at the German Clinical Trial Registry (GCTR), DRKS00004787, 18 March 2013.
Background: Standardized neuropsychological testing serves to quantify cognitive impairment in multiple sclerosis (MS) patients. However, the exact mechanism underlying the translation of cognitive dysfunction into difficulties in everyday tasks has remained unclear. To answer this question, we tested if MS patients with intact vs. impaired information processing speed measured by the Symbol Digit Modalities Test (SDMT) differ in their visual search behavior during ecologically valid tasks reflecting everyday activities.
Methods: Forty-three patients with relapsing-remitting MS enrolled in an eye-tracking experiment consisting of a visual search task with naturalistic images. Patients were grouped into “impaired” and “unimpaired” according to their SDMT performance. Reaction time, accuracy and eye-tracking parameters were measured.
Results: The groups did not differ regarding age, gender, and visual acuity. Patients with impaired SDMT (cut-off SDMT-z-score < −1.5) performance needed more time to find and fixate the target (q = 0.006). They spent less time fixating the target (q = 0.042). Impaired patients had slower reaction times and were less accurate (both q = 0.0495) even after controlling for patients' upper extremity function. Exploratory analysis revealed that unimpaired patients had higher accuracy than impaired patients particularly when the announced target was in unexpected location (p = 0.037). Correlational analysis suggested that SDMT performance is inversely linked to the time to first fixation of the target only if the announced target was in its expected location (r = −0.498, p = 0.003 vs. r = −0.212, p = 0.229).
Conclusion: Dysfunctional visual search behavior may be one of the mechanisms translating cognitive deficits into difficulties in everyday tasks in MS patients. Our results suggest that cognitively impaired patients search their visual environment less efficiently and this is particularly evident when top-down processes have to be employed.
Stress influences health not only directly, but also indirectly through changes in health-related behaviours, such as diet. Research has shown that stress influences individuals’ eating behaviour in different ways: Some increase, some decrease food intake, while others show no change. Identifying individuals at risk for stress-induced eating is essential for the development of tailored strategies for the prevention and treatment of overweight and obesity. The individual-difference model of stress-induced eating suggests that individual differences in the dietary response to stress are determined by differences in learning history, attitudes, or biology. Even though many studies have tried to identify person-characteristics that explain individual differences in the dietary response to stress, evidence remains inconclusive. Considering that eating is a repeated-occurrence health behaviour which is performed multiple times a day, Ecological Momentary Assessment (EMA) seems particularly promising to study the complex relationship between stress and food intake when and where it naturally occurs. Despite its potential, the number of studies applying EMA to assess the stress and eating relationship is limited. Furthermore, previous EMA studies show two limitations: (1) Actual food intake is not assessed and (2) inappropriate data analysis approaches are applied to semicontinuous outcomes. Therefore, the first aim of the present dissertation was to address the lack of an EMA tool that allows the assessment of stress and actual food intake by developing and evaluating the APPetite-mobile-app. Feasibility and usability of the APPetite-mobile-app as well as validity of the incorporated food record were empirically examined (Paper 1). Given the lack of an appropriate data analysis procedure, the second aim of the present dissertation was the introduction of a sophisticated statistical approach for semicontinuous data (Paper 2): Multilevel two-part modelling allows studying the influence of stress on the occurrence (i.e., whether individuals eat) as well as the amount of food intake (i.e., how much individuals eat) while accounting for the potential dependency between the two. Lastly, the novel EMA tool and the advanced data analysis procedure were integrated in order to gain novel insights into individual differences in the dietary response to stress and thereby identify individuals at risk for stress-induced eating in daily life (Paper 3). Results of Paper 1 showed good feasibility and acceptable usability of the APPetite-mobile-app as well as validity of the incorporated food record. Findings of Paper 2 highlight that multilevel two-part models offer novel and distinct insights in terms of the occurrence and the amount of food intake and are therefore not only methodologically but also conceptually promising. Paper 3 provides first evidence that the dietary response to stress might not be as stable as yet assumed. Time-varying factors might moderate the relationship between stress and actual food intake. Therefore, an expansion of the individual-difference model is proposed which accounts for time-varying factors. Further EMA studies are needed to verify the expanded model and identify time-varying factors which influence the dietary response to stress. Beyond that, improvements in the dietary assessment are required in order to allow prolonged EMA periods as well as larger samples. The present dissertation contributes to the research on the stress and eating relationship as it overcomes limitations of previous EMA studies and yields novel insights into the relationship between stress and actual food intake in daily life. Not only identifying individuals at risk for stress-induced eating, but also the identification of situations with an increased risk for stress-induced eating appears to be important for the development of targeted strategies for the prevention and treatment of overweight and obesity.
Based on stereotype threat and stereotype lift theory, this study explores implicit stereotype threat effects of gender stereotypes on the performance of primary school children in mathematics. Moreover, effects of implicit gender stereotypical cues (gender-specific task material) on motivational aspects were explored, which have revealed mixed results in stereotype threat research in the past. N = 151 German primary school children (47.7% female; mean age: M = 9.81, SD = 0.60) calculated either stereotypical or neutral mathematical text problems before motivational aspects were assessed. Contradicting our expectations, results neither revealed a stereotype threat effect on girls’ performance nor a lift effect on the boys. Instead, girls calculating stereotypical tasks outperformed girls in the control group, whereas boys’ performance did not significantly differ compared to the control group. Regarding motivational aspects, only traditional gender differences emerged as girls reported significantly more pressure and tension calculating the mathematical tasks. The discussion focuses on the way in which stereotypes can affect children’s cognitive performance and in turn, their mathematical performance.
The intergroup sensitivity effect in mergers and acquisitions: testing the role of merger motives
(2021)
Research has shown that people are more defensive to criticism when it stems from an outgroup member, compared to an ingroup member (the intergroup sensitivity effect: ISE). We conducted two online vignette experiments to examine the ISE in the context of an organizational merger and the role of merger motives for the ISE. We predicted that the ISE would also emerge in mergers and acquisitions (M&As), but people would respond less negatively to criticism from the outgroup when the motive for the merger is described as achieving synergies rather than growth. In Experiment 1 (N = 452), which did not mention any motives behind the acquisition, a significant ISE emerged. Experiment 2 (N = 587) again showed an ISE regardless of the merger motive. In both experiments, the ISE was mediated by perceptions of the outgroup criticism as less legitimate and constructive. Overall, this research points to the intergroup sensitivity effect as a relevant phenomenon during post-merger integration.
Although resilience is a multi-level process, research largely focuses on the individual and little is known about how resilience may distinctly present at the group level. Even less is known about subjective conceptualizations of resilience at either level. Therefore, two studies sought to better understand how individuals conceptualize resilience both as an individual and as a group. Study 1 (N = 123) experimentally manipulated whether participants reported on either individual or group-based responses to real stressors and analysed their qualitative responses. For individual responses, subjective resilience featured active coping most prominently, whereas social support was the focus for group-based responses. As these differences might be attributable to the different stressors people remembered in either condition, Study 2 (N = 171) held a hypothetical stressor (i.e., natural disaster) constant. As expected, resilience at the group level emphasized maintaining group cohesion. Surprisingly, the group condition also reported increased likelihood to engage in blame, denial, and behavioural disengagement. Contrary to expectations, participants in the individual condition reported stronger desire to seek out new groups. The combined findings are discussed within the framework of resilience and social identity and highlight the necessity of accounting for multiple levels and subjective conceptualizations of resilience.
The papers in this Special Issue Part I “Revisioning, Rethinking, Restructuring Gender at Work: Quo Vadis Gender Stereotypes?” focus on the current state of gender inequality, particularly stereotypes. We present studies showing that differences in gender stereotypes still exist, confirm disadvantages for women in male-dominated roles and sectors and when the employment sector is not specified, but also disadvantages for men in female-dominated roles and sectors. In contrast to this general trend, one paper in Part II of this Special Issue found a preference for women over men as job candidates in their study. Incongruence emerged as a striking common theme to explain these gender differences, whereby some studies focused on the perceived incongruence from the actor's perspective and how external factors contribute to these perceptions, whereas others looked at the perceived incongruence from the observer's perspective. We summarize the papers and briefly discuss the key points of Part I at the end of this editorial.
The present diary study was conducted for the purpose of bridging and integrating empirical research on the antecedents and consequences of work-related ruminative processes in the evening. Based on the control theory, unfinished tasks and fatigue in the afternoon were considered as antecedents of affective rumination, while vitality was investigated as the outcome observed in the next morning to test for cyclical processes. During a 5-day diary study (including 3 weekdays and the weekend), 74 beginning teachers completed three diary entries per day. A total of 795 diary entries were obtained. Using multilevel structural equation modeling, the study supported that both fatigue and unfinished tasks explained unique shares of variance of affective rumination in the evening at the between- and within-person levels. Furthermore, affective rumination mediated the relationship between unfinished tasks and vitality as well as fatigue and vitality. However, this only held true at the between- and not the within-person level, as neither affective rumination nor fatigue and unfinished tasks predicted the following morning’s vitality at this level. The results offer insights into the antecedents of affective rumination and add to extant research on the negative consequences of affective rumination considering vitality as an outcome.
Im Rahmen der fortschreitenden Digitalisierung der Hochschullehre finden auch verstärkt elektronische Prüfungsformate Eingang in den Alltag von Hochschulen. Insbesondere elektronische Abschlussklausuren (E-Klausuren) bieten hier die Möglichkeit, die Prüfungsbelastung Hochschulehrender durch die Automatisierung weiter Teile der Klausurkonstruktion, -administration und -auswertung zu reduzieren. Die Integration digitaler Technologien in die Prüfungspraxis deutscher Hochschulen ermöglicht dabei nicht nur eine ökonomische Klausurkonstruktion, realitätsnähere Klausuren (z. B. durch die Nutzung fachspezifischer Standardsoftware), und den Einsatz innovativer Testbausteine (z. B. Integration von Multimediadateien in Items), sondern auch die Nutzung aktueller psychometrischer Methoden. Insbesondere die Konstruktion von Hochschulklausuren als kriteriumsorientierte, adaptive Tests (z. B. Spoden & Frey, 2021), hat das Potential Hochschulklausuren individualisierter, messpräzisier und fairer zu machen, sowie die Validität der aus der Klausurbearbeitung abgeleiteten Testwertinterpretationen zu steigern. Um kriteriumsorientierte, adaptive Hochschulklausuren in der Breite nutzbar zu machen, müssen allerdings zuvor einige Herausforderungen gemeistert werden, denen sich diese Arbeit widmet. Die in den vier Einzelarbeiten dieser Dissertation betrachteten Herausforderungen lassen sich auf einer psychometrischen, einer personalen und einer technischen Ebene verorten.
Auf der psychometrischen Ebene ist eine zentrale Herausforderung die ökonomische Kalibrierung des Itempools. Üblicherweise wird bei der Konstruktion adaptiver Tests eine dreistellige Anzahl an Items konstruiert und mittels einer separaten Kalibrierungsstudie im Vorlauf der operationalen Testanwendung mit mehreren hundert Testpersonen kalibriert. Die massierte Konstruktion vieler Items und die Durchführung einer zusätzlichen empirischen Studie lässt sich im Rahmen von Hochschulklausuren nur schwer realisieren. Im ersten Einzelbeitrag wird daher eine neuartige kontinuierliche Kalibrierungsstrategie (KKS) vorgestellt und im Rahmen einer Monte-Carlo-Simulation hinsichtlich ihrer psychometrischen Eigenschaften geprüft. Zusammenfassend ermöglicht die KKS, adaptive Tests während wiederkehrender Testanwendungen bei konstanter Berichtsmetrik, Kontrolle von Itemparameter-Drift und fortlaufender Ergänzung des Itempools zu kalibrieren. Es zeigt sich, dass die KKS selbst für sehr kleine Stichproben eine geeignete Methode darstellt, den Itempool über mehrere Testanwendungen hinweg fortlaufend zu kalibrieren.
Um die Berichtsmetrik dabei über die verschiedenen Testanwendungen hinweg konstant zu halten, und somit Vergleichbarkeit der Ergebnisse verschiedener Testzeitpunkte (z. B. Semester) zu gewährleisten, nutzt die KKS Equating-Methoden (z. B. Kolen & Brennan, 2014) zum Herstellen einer statistischen Verbindung zwischen Klausurdurchläufen. Die Qualität dieser statistischen Verbindung hängt dabei von verschiedenen Parametern ab. Im zweiten Einzelbeitrag werden daher verschiedene Konfigurationen der in die KKS implementierten Equating-Prozedur hinsichtlich ihres Einflusses auf die Qualität der Parameterschätzungen im Rahmen einer Monte-Carlo-Simulation untersucht und auf Basis der Ergebnisse praktische Empfehlungen abgleitet. Hierfür werden unter anderem die Schwierigkeitsverteilung der genutzten Linkitems sowie die verwendete Skalentransformationsmethode variiert. Es zeigt sich, dass die KKS unter verschiedenen Konfigurationen in der Lage ist, die Skala über mehrere Testzyklen hinweg konstant zu halten. Normal- beziehungsweise gleichverteile Schwierigkeitsverteilungen der Linkitems sowie die Stocking-Lord-Skalentransformationsmethode (Stocking & Lord, 1983) erweisen sich hierbei am vorteilhaftesten.
Auf personaler Ebene stellt die Akzeptanz seitens der Hochschullehrenden einen kritischen Erfolgsfaktor für die Implementation neuer E-Learning Systeme in Lehrveranstaltungen dar. Angelehnt an Technologieakzeptanzmodellen (z. B. Technology Acceptance Model; Davis, 1989) wird im dritten Einzelbeitrag ein empirisch prüfbares Modell – das Technology-based Exams Acceptance Model (TEAM) – zur Vorhersage der Intention zur Nutzung von adaptiven und nicht-adaptiven E-Klausursystemen seitens Hochschullehrender vorgeschlagen und anhand der Daten von N = 993 deutschen Hochschullehrenden empirisch geprüft. Das postulierte Modell weist einen guten Modellfit auf. Die Ergebnisse weisen die wahrgenommene Nützlichkeit als Schlüsselprädiktor für die Nutzungsintention aus. Medienbezogene Variablen haben indirekte Effekte auf die wahrgenommene Nützlichkeit, mediiert über vorherige Nutzungserfahrungen mit Bildungstechnologien. Darüber hinaus spielt die subjektive Norm eine wichtige Rolle bei der Erklärung der Akzeptanz von E-Klausuren...