Searching for Prosociality in Qualitative Data: Comparing Manual,Closed-Vocabulary,and Open-Vocabulary Methods

Although most people present themselves as possessing prosocial traits, people differ in the extent to which they actually act prosocially in everyday life. Qualitative data that were not ostensibly collected to measure prosociality might contain information about prosocial dispositions that is not distorted by self-presentation concerns. This paper seeks to characterise charitable donors from qualitative data. We compared a manual approach of extracting predictors from participants' self-described personal strivings to two automated approaches: A summation of words predefined as prosocial and a support vector machine classifier. Although variables extracted by the support vector machine predicted donation behaviour well in the training sample (N = 984), virtually, no variables from any method significantly predicted donations in a holdout sample (N = 496). Raters' attempts to predict donations to charity based on reading participants' personal strivings were also unsuccessful. However, raters' predictions were associated with past charitable involvement. In sum, predictors derived from personal strivings did not robustly explain variation in charitable behaviour, but personal strivings may nevertheless contain some information about trait prosociality. The sparseness of personal strivings data, rather than the irrelevance of open-ended text or individual differences in goal pursuit, likely explains their limited value in predicting prosocial behaviour. © 2020 European Association of Personality Psychology     

To Challenge the Morning Lark and the Night Owl: Using Smartphone Sensing Data to Investigate Day–Night Behaviour Patterns

For decades, day–night patterns in behaviour have been investigated by asking people about their sleep–wake timing, their diurnal activity patterns, and their sleep duration. We demonstrate that the increasing digitalization of lifestyle offers new possibilities for research to investigate day–night patterns and related traits with the help of behavioural data. Using smartphone sensing, we collected in vivo data from 597 participants across several weeks and extracted behavioural day–night pattern indicators. Using this data, we explored three popular research topics. First, we focused on individual differences in day–night patterns by investigating whether ‘morning larks’ and ‘night owls’ manifest in smartphone-sensed behavioural indicators. Second, we examined whether personality traits are related to day–night patterns. Finally, exploring social jetlag, we investigated whether traits and work weekly day–night behaviours influence day–night patterns on weekends. Our findings highlight that behavioural data play an essential role in understanding daily routines and their relations to personality traits. We discuss how psychological research can integrate new behavioural approaches to study personality.     

‘Personality in Its Natural Habitat’ Revisited: A Pooled,Multi-sample Examination of the Relationships Between the Big Five Personality Traits and Daily Behaviour and Language Use

Past research using the Electronically Activated Recorder (EAR), an observational ambulatory assessment method for the real-world measurement of daily behaviour, has identified several behavioural manifestations of the Big Five domains in a small college sample (N = 96). With the use of a larger and more diverse sample of pooled data from N = 462 participants from a total of four community samples who wore the EAR from 2 to 6 days, the primary purpose of the present study was to obtain more precise and generalizable effect estimates of the Big Five–behaviour relationships and to re-examine the degree to which these relationships are gender specific. In an extension of the original article, the secondary purpose of the present study was to examine if the Big Five–behaviour relationships differed across two facets of each Big Five domain. Overall, while several of the behavioural manifestations of the Big Five were generally consistent with the trait definitions (replicating some findings from the original article), we found little evidence of gender differences (not replicating a basic finding from the original article). Unique to the present study, the Big Five–behaviour relationships were not always comparable across the two facets of each Big Five domain. © 2020 European Association of Personality Psychology     

Differential association between food craving,food addiction and eating-related characteristics in persons at risk for eating disorders

IntroductionFood craving is a key feature of eating disorders, but its association with medical and psychological outcome might depend on the type of eating disorder.ObjectivesThis study investigated the factors associated with food craving in individuals at risk for DSM-5 eating disorder.MethodSeventy-six women were recruited from a non-clinical population (n = 372) based on their positive screening (EDDS, QEWP-R) for binge eating disorder (BED; n = 29), anorexia nervosa (AN; n = 28) or bulimia nervosa (BN; n = 19). They completed self-administered questionnaires assessing food craving (FCQ- T-r), Body Mass Index (BMI), eating behaviour (DEBQ), food addiction (YFAS 2.0), and anxiety and depressive symptoms (HADS).ResultsIndividuals at risk for BED or BN had higher food craving than those at risk for AN. Food craving was associated with BMI only in the BED group. Food craving was positively correlated with external eating in all groups, and with emotional eating in the AN and BED groups and correlated with anxiety only in BN. Food addiction prevalence was higher in the BN group than in the AN or BED groups (respectively 94.7%, 46.4% and 65.5%; p < 0.01). In this non-clinical population, we demonstrated that food craving was differentially associated with BMI and eating-related characteristics according to the type of eating disorder.ConclusionThis suggests that food craving is a transdiagnostic dimension that should be differentially targeted depending on the type of eating disorder; future studies should test this hypothesis in clinical populations.     

Exploring the relationships between pedestrian behaviours and traffic safety attitudes in six countries

The majority of cross-cultural research on traffic safety has investigated driver behaviour, yet in most low- and middle-income countries, where the weight of the road fatality burden is felt, motorisation rates are significantly lower than in higher-income countries. As such, this approach necessarily excludes large parts of the populations in those settings. In order to investigate the link between traffic safety attitudes and road user behaviours, this study used a self-report measure of pedestrian behaviour, applying it in six countries; Bangladesh, China, Kenya, Thailand, the UK, and Vietnam. Focus was on the relationships between a respondent’s attitude towards risky or rule violating on-road behaviours (of other road users, or more generally, not specific to pedestrians), and the extent to which they reported performing three types of risky pedestrian behaviours (i.e., intentional rule violations, errors in judgement or memory, and aggressive behaviours). Data from a sample of 3,423 individuals was subjected to a series of regression models, revealing significant links between attitudes and pedestrian behaviours in all countries, in all three behavioural factors, after controlling for age, gender, and exposure to the road environment. Differences were found between countries in the strength of these relationships, with weaker connections between attitudes and behaviours in Kenya, and stronger connections in China (with other countries in-between the two). Results are discussed in terms of the need to understand the relationships between social cognitive constructs in the specific country in which a road safety intervention is intended to be implemented.     

Effects of speed display signs on driving speed at pedestrian crossings on collector streets

This study was designed to evaluate the short- and long-term effects of speed display signs on driving speed at pedestrian crossings in a low-speed (40 km/h) urban environment. Driving speeds were compared 1 week before installation, after installation (1 week; 1 month; 3 months; 5 months) and 1 week after removal. The main results showed that the speed displays decreased the mean speed by 0.5–2.9 km/h, which translates to a 4–22% drop in pedestrian fatality risk. Furthermore, there was a drop in the proportion of speeding vehicles and approaching speed of individual vehicles. The decrease in speed persisted over time, suggesting that speed displays may reduce speeds in the long term. In conclusion, installing speed displays at pedestrian crossings on collector streets reduces driving speeds and could contribute to the safety of pedestrians.     

Effects of route familiarity on drivers’ psychological conditions: Based on driving behaviour and driving environment

Route familiarity affects a driver’s mental state and indirectly affects traffic safety; however, this important factor is easily overlooked. Previous research on route familiarity has only analysed psychological states in terms of unfamiliarity and familiarity, the influence of driving behaviour and driving environment on psychological states has been ignored. As a result, the mechanisms through which the route familiarity influence driver psychological states, and vice versa, are unclear. This study proposes a quantitative framework for studying driver psychological condition and route familiarity using experimental data from a real driving task and driving environment data. The experimental data included 1022 observations obtained by 23 participants over 7 consecutive trials on 6 unfamiliar experimental routes with large differences in scenarios; environmental data were automatically extracted after segmenting a driving video through the Dilated Residual NetWorks model. The results reveal that (1) the relationship between the driver’s psychological condition and route familiarity is not monotonic and is different for straight and turning sections; (2) the driver’s psychological condition is influenced by the visual scene elements and the type of road section, and the results of the multivariate regression analysis quantified the variability of the influence; and (3) unlike a majority of findings on distracted driving, our study suggest that the driver’s attention to the external environment in the urban distracted driving state will gradually approach a ‘distraction threshold’, and the time and size of the ‘distraction threshold’ are influenced by the driver. This study can further the development of urban traffic safety research and help urban designers plan and improve urban landscapes to ensure drivers maintain stable mental states when they drive.     

Integrated mindfulness-based intervention: Effects on mindfulness skills,cognitive interference and performance satisfaction of young elite badminton players

ObjectivesMindfulness- and acceptance-based interventions (MABI) in sport settings need further development and validation to fulfil the desired outcomes related to sport performance. The current study aimed to design and implement a MABI integrated into the badminton training of young elite players (MBI programme), and to investigate its impact on sport performance-related outcomes.DesignTwo stages: (a) design and implementation of the MBI programme, and (b) evaluation using a mixed methods approach.MethodParticipants were young elite badminton players, assigned either to the 8-week MBI programme (n = 18; M_age = 16.22), or the 8-week placebo programme (n = 11; M_age = 16.64). Participants completed pre- and post-intervention measures of mindfulness skills, cognitive interference, and performance satisfaction. Social validation interviews were conducted with MBI participants to collect their overall perceptions of the programme.ResultsMANCOVA indicated a large intervention effect on the main outcome variables (partial η² = 0.58). The results of univariate ANCOVAs showed that post-intervention awareness, performance worries and task-irrelevant thoughts differed significantly across the groups. In addition, follow-up t-tests provided additional information regarding changes from pre- to post-intervention among the MBI and control groups separately. Social validation data gave further insights into what athletes had retained and applied from the MBI programme.ConclusionsContrasting results highlighted the need to better explore mindfulness mechanisms in MABI and the way they are inter-related, in order to strengthen changes in sport performance-related outcomes.     

Antécédents et conséquences du comportement proactif au travail des cadres hospitaliers sur leur comportement d’innovation au travail : un modèle de médiation séquentielle-modérée

This article reports the results of the analysis of the antecedents and consequences of nurse managers’ proactive work behaviour. We tested a moderated sequential mediation model in which work engagement and proactivity mediate the relationship between work climate and innovation and analysed the moderating role of feedback in the relationship between proactivity and innovation. This study was conducted among 290 nurse managers and we found that work engagement and proactivity sequentially mediated the relationship between work climate and innovation. Moreover, feedback moderates the relationship between proactivity and innovation. We discuss the theoretical and managerial implications of these results.