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In today’s world of work, networking behaviors are an important and viable strategy to enhance success in work and career domains. Concerning personality as an antecedent of networking behaviors, prior studies have exclusively relied on trait perspectives that focus on how people feel, think, and act. Adopting a motivational perspective on personality, we enlarge this focus and argue that beyond traits predominantly tapping social content, motives shed further light on instrumental aspects of networking – or why people network. We use McClelland’s implicit motives framework of need for power (nPow), need for achievement (nAch), and need for affiliation (nAff) to examine instrumental determinants of networking. Using a facet theoretical approach to networking behaviors, we predict differential relations of these three motives with facets of (1) internal vs. external networking and (2) building, maintaining, and using contacts. We conducted an online study, in which we temporally separate measures (N = 539 employed individuals) to examine our hypotheses. Using multivariate latent regression, we show that nAch is related to networking in general. In line with theoretical differences between networking facets, we find that nAff is positively related to building contacts, whereas nPow is positively related to using internal contacts. In sum, this study shows that networking is not only driven by social factors (i.e., nAff), but instead the achievement motive is the most important driver of networking behaviors.
A negative mood-congruent attention bias has been consistently observed, for example, in clinical studies on major depression. This bias is assumed to be dysfunctional in that it supports maintaining a sad mood, whereas a potentially adaptive role has largely been neglected. Previous experiments involving sad mood induction techniques found a negative mood-congruent attention bias specifically for young individuals, explained by an adaptive need for information transfer in the service of mood regulation. In the present study we investigated the attentional bias in typically developing children (aged 6–12 years) when happy and sad moods were induced. Crucially, we manipulated the age (adult vs. child) of the displayed pairs of facial expressions depicting sadness, anger, fear and happiness. The results indicate that sad children indeed exhibited a mood specific attention bias toward sad facial expressions. Additionally, this bias was more pronounced for adult faces. Results are discussed in the context of an information gain which should be stronger when looking at adult faces due to their more expansive life experience. These findings bear implications for both research methods and future interventions.
Altruistic punishment is connected to trait anger, not trait altruism, if compensation is available
(2018)
Altruistic punishment and altruistic compensation are important concepts that are used to investigate altruism. However, altruistic punishment has been found to be correlated with anger. We were interested whether altruistic punishment and altruistic compensation are both driven by trait altruism and trait anger or whether the influence of those two traits is more specific to one of the behavioral options. We found that if the participants were able to apply altruistic compensation and altruistic punishment together in one paradigm, trait anger only predicts altruistic punishment and trait altruism only predicts altruistic compensation. Interestingly, these relations are disguised in classical altruistic punishment and altruistic compensation paradigms where participants can either only punish or compensate. Hence altruistic punishment and altruistic compensation paradigms should be merged together if one is interested in trait altruism without the confounding influence of trait anger.
Although questionable research practices (QRPs) and p-hacking have received attention in recent years, little research has focused on their prevalence and acceptance in students. Students are the researchers of the future and will represent the field in the future. Therefore, they should not be learning to use and accept QRPs, which would reduce their ability to produce and evaluate meaningful research. 207 psychology students and fresh graduates provided self-report data on the prevalence and predictors of QRPs. Attitudes towards QRPs, belief that significant results constitute better science or lead to better grades, motivation, and stress levels were predictors. Furthermore, we assessed perceived supervisor attitudes towards QRPs as an important predictive factor. The results were in line with estimates of QRP prevalence from academia. The best predictor of QRP use was students’ QRP attitudes. Perceived supervisor attitudes exerted both a direct and indirect effect via student attitudes. Motivation to write a good thesis was a protective factor, whereas stress had no effect. Students in this sample did not subscribe to beliefs that significant results were better for science or their grades. Such beliefs further did not impact QRP attitudes or use in this sample. Finally, students engaged in more QRPs pertaining to reporting and analysis than those pertaining to study design. We conclude that supervisors have an important function in shaping students’ attitudes towards QRPs and can improve their research practices by motivating them well. Furthermore, this research provides some impetus towards identifying predictors of QRP use in academia.
The Concealed Information Test (CIT) is a well-validated means to detect whether someone possesses certain (e.g., crime-relevant) information. The current study investigated whether alcohol intoxication during CIT administration influences reaction time (RT) CIT-effects. Two opposing predictions can be made. First, by decreasing attention to critical information, alcohol intoxication could diminish CIT-effects. Second, by hampering the inhibition of truthful responses, alcohol intoxication could increase CIT-effects. A correlational field design was employed. Participants (n = 42) were recruited and tested at a bar, where alcohol consumption was voluntary and incidental. Participants completed a CIT, in which they were instructed to hide knowledge of their true identity. BAC was estimated via breath alcohol ratio. Results revealed that higher BAC levels were correlated with higher CIT-effects. Our results demonstrate that robust CIT effects can be obtained even when testing conditions differ from typical laboratory settings and strengthen the idea that response inhibition contributes to the RT-CIT effect.
The present article introduces a model based on cognitive consistency principles to predict how new identities become integrated into the self-concept, with consequences for intergroup attitudes. The model specifies four concepts (self-concept, stereotypes, identification, and group compatibility) as associative connections. The model builds on two cognitive principles, balance-congruity and imbalance-dissonance, to predict identification with social groups that people currently belong to, belonged to in the past, or newly belong to. More precisely, the model suggests that the relative strength of self-group associations (i.e., identification) depends in part on the (in)compatibility of the different social groups. Combining insights into cognitive representation of knowledge, intergroup bias, and explicit/implicit attitude change, we further derive predictions for intergroup attitudes. We suggest that intergroup attitudes alter depending on the relative associative strength between the social groups and the self, which in turn is determined by the (in)compatibility between social groups. This model unifies existing models on the integration of social identities into the self-concept by suggesting that basic cognitive mechanisms play an important role in facilitating or hindering identity integration and thus contribute to reducing or increasing intergroup bias.
Programmansätze und deren Einsatz in vorschulisch, schulisch und außerschulisch bildenden Kontexten erfreuen sich der zunehmenden Beliebtheit. Ein breites und nicht nachlassendes Interesse in Forschung und Praxis kommt insbesondere vorschulischen Trainingskonzepten zuteil, denen das Potenzial zugesprochen wird, später auftretenden Schwierigkeiten beim Erwerb der Schriftsprache wirksam vorzubeugen.
Das Würzburger Trainingsprogramm »Hören, lauschen, lernen« stellt einen konzeptionell auf schriftspracherwerbstheoretischen Annahmen fundierten und mit mehreren evaluierenden Studien erprobten Trainingsansatz dar. Dieser bezweckt, Kindern den Erwerb des Lesens und Schreibens zu erleichtern. Dem Anspruch, späteren Lese-Rechtschreibschwierigkeiten effektiv vorzubeugen, unterliegt die vorschulische Förderung bereichsspezifischer Kompetenzen des Schriftspracherwerbs, insbesondere der Kompetenz phonologische Bewusstheit. Die Förderung wird optimal ausgeschöpft, sofern Empfehlungen einer qualitativen Implementierung umgesetzt werden, die als Manualtreue, Durchführungsintensität, Programmdifferenzierung, Programmkomplexität, Implementierungsstrategien, Vermittlungsqualität und Teilnehmerreaktion spezifiziert sind.
Zunehmend diskutiert sind in der Trainingsforschung, neben der theoretischen Fundierung und dem zu erbringenden Nachweis an empirischer Evidenz von Programmansätzen, Kriterien der Praxistauglichkeit. Daher befasst sich die vorliegende Arbeit mit der Frage der Programmrobustheit gegenüber Trainereffekten. Es nahmen 300 Kinder an dem Würzburger Trainingsprogramm teil und wurden 64 Kindern gegenübergestellt, die dem regulären Kindergartenprogramm folgten. Angeleitet durch das erzieherische Personal fand das 5-monatig andauernde Training innerhalb des Vorschuljahres statt. Die kindliche Entwicklung in den bereichsspezifischen Kompetenzen der phonologischen Bewusstheit und der Graphem-Phonem-Korrespondenz wurde vor und nach der Trainingsmaßnahme sowie zum Schulübertritt und in den Kompetenzen des Rechtschreibens und Lesens zum Ende des ersten Schuljahres untersucht. Es ließen sich unmittelbar und langfristig Trainingseffekte des eingesetzten Programmes nachweisen; indessen blieb ein Transfererfolg aus.
Der Exploration von Trainereffekten unterlag eine Eruierung der Praxistauglichkeit des Trainingsprogrammes anhand der erfolgten Implementierung durch das anleitende erzieherische Personal. Aus der ursprünglich mit 300 Kindern aus 44 involvierten Kindergärten bestehenden Datenbasis wurden drei Subgruppen mit insgesamt 174 Kindern aus 17 Kindergärten identifiziert, bei denen deutliche Diskrepanzen zu unmittelbaren, langfristigen und transferierenden Effekten des Trainingsprogrammes auftraten. Exploriert wurden Unterschiede in der Durchführung, um Rückschlüsse auf qualitative Aspekte der Programmimplementierung zu ziehen. Die Befunde des Extremgruppenvergleichs deuteten an, dass weniger Aspekte der Manualtreue und Durchführungsintensität ausschlaggebend für die Programmwirksamkeit waren; vielmehr schien für die Wirksamkeit des Trainingsprogrammes die Implementierung in der Art und Weise, wie die Trainingsinhalte den Kindern durch das erzieherische Personal vermittelt waren, entscheidend zu sein. Befunde zur eruierten Teilnehmerreaktion, die auf differenzielle Fördereffekte verweisen, stellten die Trainingswirksamkeit insbesondere für Kinder heraus, bei denen prognostisch ein Risiko unterstellt war, später auftretende Schwierigkeiten mit der Schriftsprache zu entwickeln. Ferner zeichnete sich ab, dass neben der Qualität der Programmimplementierung scheinbar auch Unterschiede in der schulischen Instruktionsmethode des Lesens und Schreibens einen nivellierenden Einfluss auf den Transfererfolg des Programmes ausübten. Theoretische und praktische Implikationen für den Einsatz des Trainingsprogrammes wurden diskutiert.
The rise of automated driving will fundamentally change our mobility in the near future. This thesis specifically considers the stage of so called highly automated driving (Level 3, SAE International, 2014). At this level, a system carries out vehicle guidance in specific application areas, e.g. on highway roads. The driver can temporarily suspend from monitoring the driving task and might use the time by engaging in so called non-driving related tasks (NDR-tasks). However, the driver is still in charge to resume vehicle control when prompted by the system. This new role of the driver has to be critically examined from a human factors perspective.
The main aim of this thesis was to systematically investigate the impact of different NDR-tasks on driver behavior and take-over performance. Wickens’ (2008) architecture of multiple resource theory was chosen as theoretical framework, with the building blocks of multiplicity (task interference due to resource overlap), mental workload (task demands), and aspects of executive control or self-regulation. Specific adaptations and extensions of the theory were discussed to account for the context of NDR-task interactions in highly automated driving.
Overall four driving simulator studies were carried out to investigate the role of these theoretical components. Study 1 showed that drivers focused NDR-task engagement on sections of highly automated compared to manual driving. In addition, drivers avoided task engagement prior to predictable take-over situations. These results indicate that self-regulatory behavior, as reported for manual driving, also takes place in the context of highly automated driving. Study 2 specifically addressed the impact of NDR-tasks’ stimulus and response modalities on take-over performance. Results showed that particularly visual-manual tasks with high motoric load (including the need to get rid of a handheld object) had detrimental effects. However, drivers seemed to be aware of task specific distraction in take-over situations and strictly canceled visual-manual tasks compared to a low impairing auditory-vocal task. Study 3 revealed that also the mental demand of NDR-tasks should be considered for drivers’ take-over performance. Finally, different human-machine-interfaces were developed and evaluated in Simulator Study 4. Concepts including an explicit pre-alert (“notification”) clearly supported drivers’ self-regulation and achieved high usability and acceptance ratings.
Overall, this thesis indicates that the architecture of multiple resource theory provides a useful framework for research in this field. Practical implications arise regarding the potential legal regulation of NDR-tasks as well as the design of elaborated human-machine-interfaces.
Brain computer interfaces based on sensorimotor rhythms modulation (SMR-BCIs) allow people to emit commands to an interface by imagining right hand, left hand or feet movements. The neurophysiological activation associated with those specific mental imageries can be measured by electroencephalography and detected by machine learning algorithms. Improvements for SMR-BCI accuracy in the last 30 years seem to have reached a limit. The currrent main issue with SMR-BCIs is that between 15% to 30% cannot use the BCI, called the "BCI inefficiency" issue. Alternatively to hardware and software improvements, investigating the individual characteristics of the BCI users has became an interesting approach to overcome BCI inefficiency. In this dissertation, I reviewed existing literature concerning the individual sources of variation in SMR-BCI accuracy and identified generic individual characteristics. In the empirical investigation, attention and motor dexterity predictors for SMR-BCI performance were implemented into a trainings that would manipulate those predictors and lead to higher SMR-BCI accuracy. Those predictors were identified by Hammer et al. (2012) as the ability to concentrate (associated with relaxation levels) and "mean error duration" in a two-hand visuo-motor coordination task (VMC). Prior to a SMR-BCI session, a total of n=154 participants in two locations took part of 23 min sessions of either Jacobson’s Progressive Muscle Relaxation session (PMR), a VMC session, or a control group (CG). No effect of PMR or VMC manipulation was found, but the manipulation checks did not consistently confirm whether PMR had an effect of relaxation levels and VMC on "mean error duration". In this first study, correlations between relaxation levels or "mean error duration" and accuracy were found but not in both locations. A second study, involving n=39 participants intensified the training in four sessions on four consecutive days or either PMR, VMC or CG. The effect or manipulation was assessed for in terms of a causal relationship by using a PRE-POST study design. The manipulation checks of this second study validated the positive effect of training on both relaxation and "mean error duration". But the manipulation did not yield a specific effect on BCI accuracy. The predictors were not found again, displaying the instability of relaxation levels and "mean error duration" in being associated with BCI performance. An effect of time on BCI accuracy was found, and a correlation between State Mindfulness Scale and accuracy were reported. Results indicated that a short training of PMR or VMC were insufficient in increasing SMR-BCI accuracy. This study contrasted with studies succeeding in increasing SMR-BCI accuracy Tan et al. (2009, 2014), by the shortness of its training and the relaxation training that did not include mindfulness. It also contrasted by its manipulation checks and its comprehensive experimental approach that attempted to replicate existing predictors or correlates for SMR-BCI accuracy. The prediction of BCI accuracy by individual characteristics is receiving increased attention, but requires replication studies and a comprehensive approach, to contribute to the growing base of evidence of predictors for SMR-BCI accuracy. While short PMR and VMC trainings could not yield an effect on BCI performance, mindfulness meditation training might be beneficial for SMR-BCI accuracy. Moreover, it could be implemented for people in the locked-in-syndrome, allowing to reach the end-users that are the most in need for improvements in BCI performance.