British journal of psychology最新文献

Although substantial research indicates that considerations about status can lead to anxiety and other negative outcomes, a valid measure of the importance individuals attribute to status is lacking. This paper introduces the Status Importance Scale (SIS), a mono-factorial 10-item self-report questionnaire that quantifies how important a person deems status to be. Five studies validate the scale showing that it has excellent internal reliability and acceptable test–retest reliability, it correlates with several related measures (supporting convergent validity), it shows little correlation with theoretically unrelated constructs (supporting discriminant validity), it is the best predictor of conspicuous consumption compared with other potential candidates (supporting concurrent validity), and it can help predicting which activities one gives importance to (further supporting concurrent validity). Finally, as hypothesized by previous literature, the last study reveals that the SIS can predict status anxiety. The SIS can contribute to research regarding important phenomena such as the detrimental psychological effects of income inequality.

Subjective feelings of loneliness emerge due to unsatisfactory social relationships, representing a major risk for mental and physical well-being. Despite its social nature, evidence on how loneliness affects social behaviours and expectations is lacking. Using Bayesian analyses and economic games, we show in three different studies that lonelier individuals trusted their partners to a greater extent despite less favourable trustworthiness expectations, showing a greater discrepancy between their trusting behaviours and their expectations of others' trustworthiness. Such discrepancy was reversed in extravert individuals who also reported to be less lonely. These results provide evidence on two opposing effects of loneliness as a motivator for social connections and promoter of social withdrawal, and demonstrate the moderating role of personality traits. This work contributes to a better understanding of how loneliness impacts social behaviour and social expectations, with important downstream clinical implications for varying health conditions associated with heightened feelings of loneliness.

The memory conformity effect occurs when people witness a given incident (e.g. a crime) then talk to each other about it, and the statement of one person affects the memory account of the other person with respect to this incident. The aim of this article is to improve the quality of witness testimony by verifying the effectiveness of three methods that aim to reduce memory conformity effect: (1) an extended warning against misinformation; (2) a method based on information about memory functioning and its fallibility and (3) a method consisting in motivating participants to resist influence and demonstrating their individual vulnerability to it. In the presented experiment, the innovative MORI technique was used to study the memory conformity effect. This technique allows a pair of participants to sit beside each other, look at the same screen and see a different version of the same criminal event. In the next stages, the subjects are asked to answer a series of questions about different details, thereby introducing mutual misinformation; then, the participants perform an individual memory test. In the experimental conditions, this test was preceded by one of the three tested methods in each group, with the aim of determining their effectiveness in reducing memory conformity. It turns out that the implementation of an extended warning against misinformation eliminated the memory conformity effect, while the application of two other methods led to a reduction (but not complete elimination) of the studied phenomenon.

The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences. Our models process these attributes as inputs to predict the aesthetic scores of images. Moreover, to delve deeper and obtain interpretable explanations regarding the factors driving aesthetic preferences, we utilize the popular Explainable AI (XAI) technique known as SHapley Additive exPlanations (SHAP). Our methodology compares the performance of various ML models, including Random Forest, XGBoost, Support Vector Regression, and Multilayer Perceptron, in accurately predicting aesthetic scores, and consistently observing results in conjunction with SHAP. We conduct experiments on three image aesthetic benchmarks, namely Aesthetics with Attributes Database (AADB), Explainable Visual Aesthetics (EVA), and Personalized image Aesthetics database with Rich Attributes (PARA), providing insights into the roles of attributes and their interactions. Finally, our study presents ML models for aesthetics research, alongside the introduction of XAI. Our aim is to shed light on the complex nature of aesthetic preferences in images through ML and to provide a deeper understanding of the attributes that influence aesthetic judgements.

Previous studies report a preference for larger comfortable interpersonal distance (CIPD) in individuals with child maltreatment (CM) when being approached by others. Yet, research on approaching others, as opposed to being approached, as well as on potential effects of social anxiety and depression is lacking. We investigated if CM and depressive symptoms influence CIPD and if social anxiety mediates the possible association of CM and CIPD when approaching a female stranger. One hundred ten participants with CM (CM) and 58 participants without CM (non-CM) experiences performed the stop-distance paradigm and stopped first when feeling uncomfortable (D1) and again when feeling very uncomfortable (D2). CM experiences were associated with a preference for larger CIPD, independent of depressive symptoms. All CM subtypes were associated with a larger D2. The relationship between CM and CIPD was partially mediated by social anxiety. These novel findings can help to develop interventions strengthening socially relevant skills and processes in those affected by CM, targeting alterations in social anxiety and depression.

The societal hallmark of the Covid-19 pandemic was a set of mitigation measures such as lockdowns and curfews. The cognitive impact on the public of the resulting spatial, social and temporal constraints is still being investigated. While pandemic time has been extensively studied and mostly described as slowed down and elongated, opposite experimental patterns across national and social contexts leave open an important explanatory gap in order to understand which factor has been causally fundamental in determining the phenomenology of the crisis. In this paper, we use a quantitative questionnaire developed for measuring temporal and social disorientation on a sample of 3306 respondents during an acute phase of restrictions in France. We show that social disorientation greatly contributed to the temporal disruptions experienced during the pandemic. This result reinforces the importance for public authorities to address the compounding effect of feeling isolated during crises.

Greedy phenomena have dramatically increased in societies. However, despite the universality of greedy behaviour, empirical research on the causes of greed is scarce. In this context, we propose that perceived economic inequality may be an important factor influencing greed. Study 1 provided primary evidence of a positive relationship between perceived economic inequality and greed, based on data from a large-scale social survey (CFPS 2018, N = 14,317). Employing well-established questionnaires, Study 2A (N = 200) and Study 2B (N = 399) revealed that perceived economic inequality positively predicts greed, with relative deprivation playing a mediating role. Study 3A (N = 200) and Study 3B (N = 200) manipulated perceived economic inequality to provide causal evidence of its effects on greed and to replicate the mediating effect of relative deprivation. Finally, Study 4 (N = 372), using a blockage manipulation design, showed that the effect of perceived economic inequality on greed significantly decreases when relative deprivation is suppressed. In summary, the results of these six studies consistently suggest that perceived economic inequality positively affects greed and that this effect is mediated by relative deprivation.

Since its release the Power Threat Meaning Framework (PTMF) has received considerable interest and uptake. However, there have not yet been any attempts to review the scope of this emergent literature. This scoping review aimed to identify and synthesize: (1) all empirical research which utilized the PTMF in their methodologies, (2) the characteristics of these studies, (3) the different ways in which these studies utilized the PTMF, and (4) the key findings of these studies. This review was conducted in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) scoping review extension (PRISMA-ScR). Following systematic searches of academic databases and grey literature, 17 studies meeting eligibility criteria were included. These papers were subject to critical appraisal, data charting, and narrative synthesis. This review identified four uses of the PTMF: (1) PTMF-informed data collection, (2) PTMF-informed data analysis, (3) Experiences of/views on the PTMF, and (4) PTMF-informed psychological practices. This evidence-base demonstrated the merits of utilizing the PTMF across a range of disciplines, settings, and populations. This heterogeneity also presents challenges for evidence synthesis. Implications for research (e.g. importance of the coherent and consistent approach to research) and practice/policy (e.g. professional training, collaboration, service-level barriers) are considered.

Open research practices seek to enhance the transparency and reproducibility of research. While there is evidence of increased uptake in these practices, such as study preregistration and open data, facilitated by new infrastructure and policies, little research has assessed general uptake of such practices across psychology university researchers. The current study estimates psychologists' level of engagement in open research practices across universities in the United Kingdom and Ireland, while also assessing possible explanatory factors that may impact their engagement. Data were collected from 602 psychology researchers in the United Kingdom and Ireland on the extent to which they have implemented various practices (e.g., use of preprints, preregistration, open data, open materials). Here we present the summarized descriptive results, as well as considering differences between various categories of researcher (e.g., career stage, subdiscipline, methodology), and examining the relationship between researcher's practices and their self-reported capability, opportunity, and motivation (COM-B) to engage in open research practices. Results show that while there is considerable variability in engagement of open research practices, differences across career stage and subdiscipline of psychology are small by comparison. We observed consistent differences according to respondent's research methodology and based on the presence of institutional support for open research. COM-B dimensions were collectively significant predictors of engagement in open research, with automatic motivation emerging as a consistently strong predictor. We discuss these findings, outline some of the challenges experienced in this study, and offer suggestions and recommendations for future research. Estimating the prevalence of responsible research practices is important to assess sustained behaviour change in research reform, tailor educational training initiatives, and to understand potential factors that might impact engagement.