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Misconceptions about scientific concepts often prevail even if learners are confronted with conflicting evidence. This study tested the facilitative role of surprise in children’s revision of misconceptions regarding water displacement in a sample of German children (N = 94, aged 6–9 years, 46% female). Surprise was measured via the pupil dilation response. It was induced by letting children generate predictions before presenting them with outcomes that conflicted with their misconception. Compared to a control condition, generating predictions boosted children’s surprise and led to a greater revision of misconceptions (d = 0.56). Surprise further predicted successful belief revision during the learning phase. These results suggest that surprise increases the salience of a cognitive conflict, thereby facilitating the revision of misconceptions.
Positive psychological coaching (PPC) has emerged as a popular “paradigm” for practitioners interested in the professional development of people. A recent review consolidated the literature on PPC and produced a 5-phase positive psychological coaching model aimed at facilitating professional growth. However, little is known about practically operationalizing each phase of the coaching process (i.e., how to facilitate each phase and which underlying tools and techniques could be employed to do so). As such, the purpose of this systematic review was to address this limitation by (a) determining which coaching tools and techniques are proposed within the coaching literature and (b) classifying the identified tools and techniques into the respective phases of PPC model. The investigation used a two-step approach by conducting a systematic literature review (to identify various PPC tools/techniques) followed by an iterative heuristic classification process (to assign these PPC tools/techniques to a known PPC model). The systematic literature review resulted in 24 peer-reviewed publications on positive psychological coaching, providing 117 different coaching tools that could be condensed into 18 overarching coaching techniques. The iterative classification process showed that most techniques and tools are useful in at least two phases. Interestingly, experts still vary in opinion on the timing and application of these specific techniques and tools within the positive psychological coaching process. This study provides researchers and practitioners with practical guidelines to facilitate a positive psychological coaching process.
The COVID-19 lockdown has significantly disrupted the higher education environment within the Netherlands and led to changes in available study-related resources and study demands of students. These changes in study resources and study demands, the uncertainty and confusion about educational activities, the developing fear and anxiety about the disease, and the implementation of the COVID-19 lockdown measures may have a significant impact on the mental health of students. As such, this study aimed to investigate the trajectory patterns, rate of change, and longitudinal associations between study resources–demands and mental health of 141 university students from the Netherlands before and during the COVID-19 lockdown. The present study employed a longitudinal design and a piecewise latent growth modeling strategy to investigate the changes in study resources and mental health over a 3 month period. The results showed that moderate levels of student resources significantly decreased before, followed by a substantial rate of increase during, lockdown. In contrast, study demands and mental health were reported to be moderate and stable throughout the study. Finally, the growth trajectories of study resources–demands and mental health were only associated before the lockdown procedures were implemented. Despite growing concerns relating to the negative psychological impact of COVID-19 on students, our study shows that the mental health during the initial COVID-19 lockdown remained relatively unchanged.
In sports and clinical settings, roller massage (RM) interventions are used to acutely increase range of motion (ROM); however, the underlying mechanisms are unclear. Apart from changes in soft tissue properties (i.e., reduced passive stiffness), neurophysiological alterations such as decreased spinal excitability have been described. However, to date, no study has investigated both jointly. The purpose of this trial was to examine RM’s effects on neurophysiological markers and passive tissue properties of the plantar flexors in the treated (ROLL) and non-treated (NO- ROLL) leg. Fifteen healthy individuals (23 ± 3 years, eight females) performed three unilateral 60-s bouts of calf RM. This procedure was repeated four times on separate days to allow independent assessments of the following outcomes without reciprocal interactions: dorsiflexion ROM, passive torque during passive dorsiflexion, shear elastic modulus of the medial gastrocnemius muscle, and spinal excitability. Following RM, dorsiflexion ROM increased in both ROLL (+19.7%) and NO-ROLL (+13.9%). Similarly, also passive torque at dorsiflexion ROM increased in ROLL (+15.0%) and NO-ROLL (+15.2%). However, there were no significant changes in shear elastic modulus and spinal excitability (p > 0.05). Moreover, significant correlations were observed between the changes in DF ROM and passive torque at DF ROM in both ROLL and NO-ROLL. Changes in ROM after RM appear to be the result of sensory changes (e.g., passive torque at DF ROM), affecting both rolled and non-rolled body regions. Thus, therapists and exercise professionals may consider applying remote treatments if local loading is contraindicated.
Working memory capacity (WMC) and fluid intelligence (Gf) are highly correlated, but what accounts for this relationship remains elusive. Process-overlap theory (POT) proposes that the positive manifold is mainly caused by the overlap of domain-general executive processes which are involved in a battery of mental tests. Thus, executive processes are proposed to explain the relationship between WMC and Gf. The current study aims to (1) achieve a relatively purified representation of the core executive processes including shifting and inhibition by a novel approach combining experimental manipulations and fixed-links modeling, and (2) to explore whether these executive processes account for the overlap between WMC and Gf. To these ends, we reanalyzed data of 215 university students who completed measures of WMC, Gf, and executive processes. Results showed that the model with a common factor, as well as shifting and inhibition factors, provided the best fit to the data of the executive function (EF) task. These components explained around 88% of the variance shared by WMC and Gf. However, it was the common EF factor, rather than inhibition and shifting, that played a major part in explaining the common variance. These results do not support POT as underlying the relationship between WMC and Gf.
The strengths use scale: psychometric properties, longitudinal invariance and criterion validity
(2021)
Strengths use is an essential personal resource to consider when designing higher-educational programs and interventions. Strengths use is associated with positive outcomes for both the student (e.g., study engagement) and the university (e.g., academic throughput/performance). The Strengths Use Scale (SUS) has become a popular psychometric instrument to measure strengths use in educational settings, yet its use has been subjected to limited psychometric scrutiny outside of the U.S. Further, its longitudinal stability has not yet been established. Given the wide use of this instrument, the goals of this study were to investigate (a) longitudinal factorial validity and the internal consistency of the scale, (b) its equivalence over time, and (c) criterion validity through its relationship with study engagement over time. Data were gathered at two-time points, 3 months apart, from a sample of students in the Netherlands (n = 360). Longitudinal confirmatory factor analyses showed support for a two-factor model for overall strengths use, comprised of Affinity for Strengths and Strengths Use Behaviors. The SUS demonstrated high levels of internal consistency at both the lower- and upper bound limits at both time points. Further, strict longitudinal measurement invariance was established, which confirmed the instrument's temporal stability. Finally, criterion validity was established through relating strengths use to study engagement at different time stamps. These findings support the use of the SUS in practice to measure strengths use and to track the effectiveness of strengths use interventions within the higher education sector.
Specifying accurate informative prior distributions is a question of carefully selecting studies that comprise the body of comparable background knowledge. Psychological research, however, consists of studies that are being conducted under different circumstances, with different samples and varying instruments. Thus, results of previous studies are heterogeneous, and not all available results can and should contribute equally to an informative prior distribution. This implies a necessary weighting of background information based on the similarity of the previous studies to the focal study at hand. Current approaches to account for heterogeneity by weighting informative prior distributions, such as the power prior and the meta-analytic predictive prior are either not easily accessible or incomplete. To complicate matters further, in the context of Bayesian multiple regression models there are no methods available for quantifying the similarity of a given body of background knowledge to the focal study at hand. Consequently, the purpose of this study is threefold. We first present a novel method to combine the aforementioned sources of heterogeneity in the similarity measure ω. This method is based on a combination of a propensity-score approach to assess the similarity of samples with random- and mixed-effects meta-analytic models to quantify the heterogeneity in outcomes and study characteristics. Second, we show how to use the similarity measure ω as a weight for informative prior distributions for the substantial parameters (regression coefficients) in Bayesian multiple regression models. Third, we investigate the performance and the behavior of the similarity-weighted informative prior distribution in a comprehensive simulation study, where it is compared to the normalized power prior and the meta-analytic predictive prior. The similarity measure ω and the similarity-weighted informative prior distribution as the primary results of this study provide applied researchers with means to specify accurate informative prior distributions.
Empathie ist ein mehrdimensionales psychologisches Konstrukt, das aus verschiedenen Facetten besteht (Decety & Ickes, 2011). Es ist anzunehmen, dass Empathie ein wichtiger Mechanismus ist, um Menschen miteinander zu verbinden und eine Gruppenkohäsion möglich zu machen (Rameson & Lieberman, 2009). Neben der Fähigkeit die Erlebenswelt des Gegenübers mit eigenen mentalen Repräsentationen nachzuvollziehen, werden dadurch Emotionen ausgelöst, die denen des Gegenübers sehr ähnlich sind. Gleichzeitig unterscheidet sich dieses Gefühlserleben aber beispielsweise von reiner Gefühlsansteckung, da eine Selbst-Andere Differenzierung stattfindet und in einer empathischen Episode immer im Vordergrund steht, dass man sich aufgrund der Gefühle des anderen so fühlt (Altmann, 2015). Hier spielt Imitation eine wichtige Rolle, wenn es darum geht, die Erlebenswelt der anderen Person zu erfassen (Meltzoff & Decety, 2003). Besonders auch bei Lehrkräften zeigt sich eine Wichtigkeit von empathischem Handeln und Verstehen (Tausch & Tausch, 2008). In verschiedenen Studien zeigten sich positive Effekte von Empathie auf die Schülerschaft und die Unterrichtsqualität. Die SchülerInnen trauen sich mehr, es herrscht weniger Angst im Klassenzimmer und die Qualität der Unterrichtsbeiträge steigt (vgl. Tausch & Tausch, 1998). Empathie selbst besteht aus State- und Trait-Anteilen, so dass zumindest Teile davon trainierbar sind (Butters, 2010). Eine potentielle Möglichkeit um Empathie zu fördern scheint das Lehr-Lern-Format Service Learning (SL) darzustellen. Hierbei handelt es sich um ein Veranstaltungskonzept, bei dem ein meist fachlicher, akademischer Inhalt mit einem ehrenamtlichen Engagement außerhalb der Universität verknüpft wird (Reinders, 2016). Forschung aus dem angloamerikanischen Raum weist darauf hin, dass Empathie durch derartige Formate gefördert werden kann (Lundy, 2007; Wilson, 2011). Da die meisten Messverfahren von Empathie auf Selbstauskunft basieren und damit nur indirekt Anteile wie das affektive Mitschwingen abbilden können, war es Teil dieser Arbeit im ersten Schritt einen objektiven, videobasierten Test zu entwickeln, der dann mit anderen Verfahren zur Messung eingesetzt werden sollte. In zwei ExpertInnen-Befragungen wurden aus einem Pool von Videosequenzen mit Unterrichtssituationen insgesamt zehn Videoclips mit jeweils vier Items und zugehörigen Antwortoptionen extrahiert. In einer darauf folgenden Validierung mit Studierenden der Goethe-Universität (N = 112) wurden diese Vignetten mit verschiedenen Verfahren zur Messung von Empathie gemeinsam erhoben und die Zusammenhänge analysiert. Die Reliabilitäten der drei Testscores bewegten sich in den beiden gebildeten Testversionen zwischen Cronbachs α = .53 (Verhaltens-Score der Testversion 1) und α = .76 (Intensitäts-Score der Testversion 2). Es zeigten sich zu allen Fragebögen erwartungskonforme Zusammenhänge von kleinen bis mittleren Effekten. Die Itemschwierigkeiten bei den meisten Items lagen zwischen 50 und 65, die Trennschärfen zwischen .18 und .70.
Im nächsten Entwicklungsschritt wurden die Vignetten in neu zusammengestellten Testversionen nur Lehramtsstudierenden (N = 41) vorgelegt und zusätzlich Videoaufnahmen der Gesichter der ProbandInnen gemacht, um sie mit Face-Reader zu analysieren und die Facette Mitschwingen abzubilden. Die Reliabilitäten der Testversionen lagen mit einem neuen Scoring nun zwischen α = .24 (Emotionserkennungs-Score Prä-Testversion) und
α = .57 (Intensitäts-Score Prä-Testversion) sowie zwischen α = .10 (Emotionserkennungs-Score Post-Testversion) und α = .77 (Intensitäts-Score Post-Testversion). Auch die Schwierigkeiten und Trennschärfen änderten sich nach Adaptieren des Scorings und bewegten sich in beiden Testversionen nun von 30 bis 89 (Schwierigkeit) und von .0 bis .5 (Trennschärfe). Die Face-Reader Analysen zeigten nur in Teilen kongruente Emotionen mit den Selbstauskunftsdaten bzw. den eingeschätzten Intensitäten in den Videosequenzen, dann allerdings mittlere bis große Effekte, so dass in Teilen von einem affektiven Mitschwingen ausgegangen werden kann. Da sich die internen Konsistenzen im Vergleich zur Validierung verschlechterten, wurden die Zusammensetzungen der Testversionen für den Praxiseinsatz wieder auf die Validierungs-Versionen umgestellt.
Im Praxiseinsatz wurden Lehramtsstudierende in SL und Non-SL-Veranstaltungen rekrutiert und miteinander verglichen. Insgesamt nahmen N = 68 Personen an drei Messzeitpunkten teil (n = 30 in SL und n = 38 in Non-SL-Seminaren). Die Analysen zeigten, dass es zwischen den Gruppen keine signifikanten Unterschiede in den genutzten Instrumenten gab. Auch über die Zeit gab es nach der Bonferroni-Korrektur nur einen signifikanten Effekt (F (2,52) = 6.57, p = .003, η2 = .20). Es ist anzunehmen, dass diese Ergebnisse vor allem auf methodische Einschränkungen und Verbesserungsmöglichkeiten des entwickelten Testverfahrens zurückzuführen sind. Weitere Möglichkeiten werden diskutiert.
Dual-task paradigms encompass a broad range of approaches to measure cognitive load in instructional settings. As a common characteristic, an additional task is implemented alongside a learning task to capture the individual’s unengaged cognitive capacities during the learning process. Measures to determine these capacities are, for instance, reaction times and interval errors on the additional task, while the performance on the learning task is to be maintained. Opposite to retrospectively applied subjective ratings, the continuous assessment within a dual-task paradigm allows to simultaneously monitor changes in the performance related to previously defined tasks. Following the Cognitive Load Theory, these changes in performance correspond to cognitive changes related to the establishment of permanently existing knowledge structures. Yet the current state of research indicates a clear lack of standardization of dual-task paradigms over study settings and task procedures. Typically, dual-task designs are adapted uniquely for each study, albeit with some similarities across different settings and task procedures. These similarities range from the type of modality to the frequency used for the additional task. This results in a lack of validity and comparability between studies due to arbitrarily chosen patterns of frequency without a sound scientific base, potentially confounding variables, or undecided adaptation potentials for future studies. In this paper, the lack of validity and comparability between dual-task settings will be presented, the current taxonomies compared and the future steps for a better standardization and implementation discussed.