Developmental trajectory of social influence integration into perceptual decisions in children.

The opinions of others have a profound influence on decision making in adults. The impact of social influence appears to change during childhood, but the underlying mechanisms and their development remain unclear. We tested 125 neurotypical children between the ages of 6 and 14 years on a perceptual decision task about 3D-motion figures under informational social influence. In these children, a systematic bias in favor of the response of another person emerged at around 12 years of age, regardless of whether the other person was an age-matched peer or an adult. Drift diffusion modeling indicated that this social influence effect in neurotypical children was due to changes in the integration of sensory information, rather than solely a change in decision behavior. When we tested a smaller cohort of 30 age- and IQ-matched autistic children on the same task, we found some early decision bias to social influence, but no evidence for the development of systematic integration of social influence into sensory processing for any age group. Our results suggest that by the early teens, typical neurodevelopment allows social influence to systematically bias perceptual processes in a visual task previously linked to the dorsal visual stream. That the same bias did not appear to emerge in autistic adolescents in this study may explain some of their difficulties in social interactions.

People perceive themselves to adhere more strictly to COVID-19 guidelines than others.

People have a fair idea of how they are supposed to behave to slow down the spread of COVID-19. But what about people's perception of their own compared to others' adherence to the guidelines? Building on prior research on self-enhancement biases, we predicted that people perceive themselves to adhere more strictly to the COVID-19 guidelines than others. To test this hypothesis, we conducted a large-scale online experiment (N = 1,102), using a sample from four countries (UK, US, Germany, Sweden). As predicted, people perceived themselves to adhere to the COVID-19 guidelines more strictly than both the average citizen of their country and their close friends. These findings were robust across countries. Furthermore, findings were not moderated by whether people first thought about themselves or about others. In conclusion, our study provides a robust demonstration of how a long-standing psychological effect perseveres, even during a once-in-a-lifetime health crisis.

Measuring Implicit Motives with the Picture Story Exercise (PSE): Databases of Expert-Coded German Stories, Pictures, and Updated Picture Norms.

We present two openly accessible databases related to the assessment of implicit motives using Picture Story Exercises (PSEs): (a) A database of 183,415 German sentences, nested in 26,389 stories provided by 4,570 participants, which have been coded by experts using Winter's coding system for the implicit affiliation/intimacy, achievement, and power motives, and (b) a database of 54 classic and new pictures which have been used as PSE stimuli. Updated picture norms are provided which can be used to select appropriate pictures for PSE applications. Based on an analysis of the relations between raw motive scores, word count, and sentence count, we give recommendations on how to control motive scores for story length, and validate the recommendation with a meta-analysis on gender differences in the implicit affiliation motive that replicates existing findings. We discuss to what extent the guiding principles of the story length correction can be generalized to other content coding systems for narrative material. Several potential applications of the databases are discussed, including (un)supervised machine learning of text content, psychometrics, and better reproducibility of PSE research.

Differentiation of selves: Differentiating a fuzzy concept.

Notwithstanding the appeal of the "one size fits all" approach that Baumeister et al. propose, we argue that there is no panacea for improving group performance. The concept of "differentiation of selves" constitutes an umbrella term for similar seeming but actually different constructs. Even the same type of "differentiation of selves" can be beneficial for some and harmful for other tasks.

The active learning hypothesis of the job-demand-control model: an experimental examination.

The active learning hypothesis of the job-demand-control model [Karasek, R. A. 1979. "Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign." Administration Science Quarterly 24: 285-307] proposes positive effects of high job demands and high job control on performance. We conducted a 2 (demands: high vs. low) × 2 (control: high vs. low) experimental office workplace simulation to examine this hypothesis. Since performance during a work simulation is confounded by the boundaries of the demands and control manipulations (e.g. time limits), we used a post-test, in which participants continued working at their task, but without any manipulation of demands and control. This post-test allowed for examining active learning (transfer) effects in an unconfounded fashion. Our results revealed that high demands had a positive effect on quantitative performance, without affecting task accuracy. In contrast, high control resulted in a speed-accuracy tradeoff, that is participants in the high control conditions worked slower but with greater accuracy than participants in the low control conditions.

Social influence and social identity: A diffusion model analysis.

Building on the seminal studies of Solomon Asch and Muzafer Sherif, recent research has advanced our understanding of the mechanisms underlying social influence by applying a diffusion model analysis. Here, we combined the social identity approach to social influence with a diffusion model analysis to unravel the mechanisms underlying social influence. In particular, we aimed to disentangle whether the difference between in-group and out-group influence on perceptual decision-making is driven by a judgmental bias (i.e., changes in decision criteria) or a perceptual bias (i.e., changes in the uptake of sensory information). Preregistered analyses indicated that in-groups exerted stronger social influence than out-groups because in-groups induced a stronger perceptual bias than out-groups. This finding is in line with the single process assumption of the social identity approach because it implicates that the single process driving social influence (i.e., self-categorisation) translates into a change in a single subprocess of decision-making (i.e., biased information uptake). In conclusion, our results highlight that our theoretical understanding of social influence can be expanded by integrating the social identity approach with a diffusion model analysis.

Political affiliation as a moderator of the relationship between organizational climate and COVID-19 vaccine readiness.

RATIONALE: Organizations have a significant influence on their employees' behavior and attitudes across a wide range of areas. A framework to bundle these effects is organizational climate. Here, we argue that in a highly polarized society, such as the United States, many types of organizational climate revolve around issues that are divided along partisan lines (e.g., diversity, sustainability, COVID-19). However, research on organizational climate has largely overlooked the idea that employees perceive these issues through a partisan lens. OBJECTIVE: We aim to address this gap by arguing that political affiliation constitutes a boundary condition for those types of organizational climates addressing partisan cleavages. In particular, we focus on the interplay of organizational climate and the partisan gap in COVID-19. We predicted that the effect of organizational COVID-19 safety climate on employees' COVID-19 vaccine readiness is moderated by political affiliation. METHODS: We conducted a survey with 1158 U.S. citizens. To strengthen the generalizability of our findings, we took care to ensure that the gender and ethnicity distribution of our sample reflected the distribution of both variables in the U.S. RESULTS: As predicted, results showed that the effect of organizational COVID-19 safety climate on employees' COVID-19 vaccine readiness was moderated by political affiliation. Specifically, the relationship between organizational COVID-19 safety climate and COVID-19 vaccine readiness was more pronounced among Republicans than Democrats. CONCLUSION: We provide a new perspective on the interactive effects of organizational climate and political partisanship on attitudes to vaccines. Our research suggests that, when it comes to vaccine readiness, it is precisely those who are most vaccine-hesitant who are most affected by the organizations for whom they work.

The cognitive and neural basis of option generation and subsequent choice.

Decision-making research has thoroughly investigated how people choose from a set of externally provided options. However, in ill-structured real-world environments, possible options for action are not defined by the situation but have to be generated by the agent. Here, we apply behavioral analysis (Study 1) and functional magnetic resonance imaging (Study 2) to investigate option generation and subsequent choice. For this purpose, we employ a new experimental task that requires participants to generate options for simple real-world scenarios and to subsequently decide among the generated options. Correlational analysis with a cognitive test battery suggests that retrieval of options from long-term memory is a relevant process during option generation. The results of the fMRI study demonstrate that option generation in simple real-world scenarios recruits the anterior prefrontal cortex. Furthermore, we show that choice behavior and its neural correlates differ between self-generated and externally provided options. Specifically, choice between self-generated options is associated with stronger recruitment of the dorsal anterior cingulate cortex. This impact of option generation on subsequent choice underlines the need for an expanded model of decision making to accommodate choice between self-generated options.

Social norm learning alters feature-based visual attention: Evidence from steady-state visual evoked potentials.

Dating back to the seminal studies of Sherif (1935), there is robust evidence that social norm learning is able to shape perceptual decision making in a persistent manner. But what mechanisms underlie this effect? Here, we propose the new attentional alignment hypothesis. According to this hypothesis, norm learning alters feature-based visual attention. In particular, we hypothesize that norm learning increases visual attention toward norm-congruent relative to norm-incongruent stimulus features. Using steady-state visual evoked potentials, our results show for the first time that norm learning can persistently alter early attentional processes in the visual cortex. As predicted by the attentional alignment hypothesis, individuals' feature-based attention was tuned toward norm-congruent and away from norm-incongruent features. This bias persisted even when norm information was no longer available. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The reciprocal relationship between social identification and social support over time: A four-wave longitudinal study.

It has been argued that the positive effect of a shared social identity on health and well-being critically hinges on the interplay between social identity and social support. This interplay, however, is poorly understood. Building on Haslam et al., we argue that their relationship can be conceptualized as being reciprocal and dynamic with each variable influencing the other. The present study is the first to examine how the reciprocal relationship between social identification and perceived social support unfolds over time. In a sample of university freshmen (NT1  = 172), we examined this reciprocal relationship in a four-wave survey study spanning over a period of 13 months. In line with Haslam et al., the results revealed a self-reinforcing cycle with social identification at T1 being positively related to perceived social support at T2, which, in turn, was positively related to social identification at T3, which predicted perceived social support at T4. In conclusion, our study advances knowledge regarding the interplay between social identity and social support over time and, hence, contributes to our understanding of the mechanisms underlying the social cure effect.

Social norms shape visual appearance: Taking a closer look at the link between social norm learning and perceptual decision-making.

One of the most fundamental questions in social psychology is whether norms can change individuals' minds by shaping the visual appearance of stimuli. This question was first raised by Muzafer Sherif (1935). Drawing on the extended social reinforcement account (Germar and Mojzisch, 2019), we aimed to provide a rigorous test of the hypothesis that norm learning leads to a persistent perceptual bias and, hence, to a change in the visual appearance of stimuli. From a methodological perspective, we used both a diffusion model approach and the method of adjustment, a well-established technique from psychophysics and vision research. The results of Experiments 1-3 show that norm effects on perceptual decision-making are robustly replicable, and are due to genuine social influence, that is, they cannot be explained by non-social priming, contingency learning effects (Experiments 1 and 2) or anchoring effects (Experiment 3). Most importantly, by using a psychophysical approach, Experiment 4 shows, for the first time, that social norm learning alters individuals' point of subjective equality and, hence, the visual appearance of stimuli.

The effectiveness of workplace interventions for the prevention of alcohol use: A meta-analysis.

BACKGROUND AND AIMS: Previous research has pointed to the potential of workplace interventions addressing alcohol consumption. However, there is still no systematic overview of the effects of these interventions. Therefore, we aimed to quantify the effectiveness of workplace interventions addressing alcohol use by conducting a meta-analysis. METHODS: A systematic literature search for randomized controlled trials of workplace alcohol interventions published between 1995 and 2020 was conducted in five databases. Studies were included if they were performed in the workplace and reported universal or selective interventions aiming for alcohol use reduction. Primary outcomes were any measures of alcohol use. Standardized mean effect sizes were used to calculate the meta-analytic random-effects-model. Additional analyses were carried out to identify potential moderators and to examine the amount of heterogeneity and publication bias. RESULTS: Twenty studies with 4484 participants were integrated into the meta-analysis. Results revealed a significant overall mean effect indicating a reduction of alcohol use in favor of the treatment group (d = -0.16, 95% CI = [-0.2715; -0.0511]). Heterogeneity within the data structure was found to be moderate to substantial (I2 = 75.9%, Q-test P < 0.001, τ2 = 0.0375). Additional moderator analyses only showed a significant effect for length of measurement period (P = 0.049). CONCLUSIONS: Alcohol-related prevention programs conducted in the workplace have a statistically significant and favorable effect on alcohol consumption. Although the overall mean effect is considered to be small, it underlines the effectiveness of workplace interventions targeting a reduction in alcohol use.

Running toward my challenges: Day-level effects of physical activity before work on appraisal of the upcoming workday and employee well-being.

Previous research has typically conceptualized physical activity as a recovery activity after work that promotes well-being by allowing employees to detach from work and replenish their resources. Here, we aimed to go beyond this framework by proposing a new theoretical model of how physical activity in the morning before work affects employee well-being. Drawing upon the transactional theory of stress, we theorized that physical activity before work shapes employees' appraisal of their upcoming workday which, in turn, affects their well-being. In a preregistered study (N = 269), we utilized a within-person daily experience sampling approach to test our model. Results showed that two types of appraisals are particularly important for explaining the effects of physical activity before work on employee well-being: First, challenge appraisal mediated the effects of physical activity before work on work engagement. Second, we found an indirect effect via threat appraisal of physical activity before work on job-related anxiety. Exploratorily, we found that threat appraisal also mediated the effect of physical activity before work on emotional exhaustion. In conclusion, our results show that physical activity before work is beneficially related to several types of well-being outcomes by increasing challenge appraisal and decreasing threat appraisal. Furthermore, our study advances theoretical understanding on physical activity and work stress by shedding light on the mechanisms underlying the effect of physical activity on employee well-being and showing that physical activity before work benefits well-being by shaping how employees appraise their work situation on a day-to-day basis. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Organizations affect their employees' vaccine readiness: A self-perception theory perspective.

Over the past 3 years, employees have constantly witnessed how their organizations have responded to the challenges posed by the COVID-19 pandemic. Here, we hypothesize that employees' perceptions of the COVID-19 safety climate of their organization positively affect their vaccine readiness. To examine the underlying mechanisms of this effect, we use a self-perception theory lens. Thus, we hypothesize that an organization's COVID-19 safety climate affects employees' COVID-19 vaccine readiness through employees' adherence to COVID-19 guidelines. We conducted a time-lagged study over the time span of 1 year (N = 351) to test our hypotheses. In general, results support our hypotheses. In particular, results showed that perceived COVID-19 safety climate assessed at an early stage of the pandemic (April 2020, when no vaccines were available) predicted employees' COVID-19 vaccine readiness more than a year later. In line with self-perception theory, this effect was mediated by employees' adherence to COVID-19 guidelines. The present study provides theoretical insight into the underlying mechanisms of organizational climate on employees' attitudes. From a practical perspective, our results suggest that organizations are a powerful lever for promoting vaccine readiness.

An examination and extension of the Peltzman effect during the Covid-19 pandemic.

Since the first COVID-19 case was confirmed in Germany, the German government has introduced various measures to counteract the pandemic. The implementation of safety measures can have counterproductive effects: people engage in risk compensatory behavior (fewer safety behaviors) after regulations are introduced and obligated by the government, which is known as the Peltzman effect (Peltzman, 1975). Based on the Peltzman effect, the researchers of this study hypothesized that people complied less with safety behaviors and took more health risks (e.g. keep less distance) after the implementation of more stringent COVID-19-related regulations (quarantine obligation and face mask duty) between the two measurement periods of this study. They also extended the Peltzman model by hypothesizing moderating roles of age, gender, and perceived COVID-19 threat. Results of the longitudinal survey study (N = 989, T1: 26 March - 31 March 2020 and T2: 27 April - 4 May 2020) confirm that people indeed complied less with safety recommendations over time associated with strengthened COVID-19-related regulations. Perceived COVID-19 threat to those in a person's surroundings (e.g. family, neighbors) had a positive impact on compliance, but age and gender had no effect. This extends the literature on the Peltzman effect by adding perceived COVID-19 threat as a new relevant construct, enabling the development of more effective safety preventions in the future.

Reduced loneliness mediates the effects of multiple group identifications on well-being.

Membership of multiple groups and identification with those groups have been found to be positively related to individuals' health and well-being. The present research sought to replicate this finding in two large, representative samples. Moreover, we sought to extend previous work by shedding light on the mechanisms mediating the effects of multiple group membership on positive health outcomes. Specifically, we proposed that the links between multiple group membership and positive health outcomes are mediated by reduced feelings of loneliness. In Study 1, a two-wave survey of a German population, participants (N = 989) were asked about their identification with family, friends, neighbourhood, their country and humanity and 4 weeks later about feelings of loneliness, physical health and stress. As hypothesized, multiple identifications predicted lower stress. They were also associated with a marginal reduction in physical symptoms of poor health. Both relationships were mediated by the absence of loneliness. In Study 2, we conducted a cross-sectional survey of German participants (N = 1635), which also included a sixth target of identification (Europe). Results replicated findings from Study 1 and also found similar relations associated with smaller (family, friends and neighbourhood) versus larger (country, Europe and Humanity) foci of identification.

Social norm learning from non-human agents can induce a persistent perceptual bias: A diffusion model approach.

Seminal studies on social influence (Asch, 1956; Sherif, 1935) were based on face-to-face interactions between humans. Nowadays, computer-mediated communication is steadily becoming ubiquitous, and we are increasingly influenced by non-human agents, such as algorithms, robots, and chatbots. The present research aimed to answer two important questions: Can non-human agents exert social influence in a persistent manner and, thus, contribute to the emergence of social norms? And if this is the case, is social influence exerted by non-human agents mediated by the same or by different cognitive mechanisms as social influence exerted by human agents? To answer these questions, we used an online version of an established paradigm in research on social norm learning. To examine the cognitive underpinnings of social influence, we used a diffusion model approach. Our results provide strong evidence for the notion that non-human agents can induce persistent social influence outside an immediate group context and, hence, can contribute to the emergence of social norms. Furthermore, results from our diffusion model analyses support the notion that social influence exerted by non-human agents is mainly mediated by the same cognitive mechanisms as social influence exerted by human agents.

The effects of organizational climate on adherence to guidelines for COVID-19 prevention.

BACKGROUND: During the current pandemic, it is essential that individuals follow the COVID-19 guidelines (e.g., physical distancing) to slow down the spread of the new coronavirus. Organizations generally affect their employees' behavior in a wide range of areas, but can they also affect how strictly employees adhere to COVID-19 guidelines? To answer this question, the present study examined the impact of an organizational climate for preventing infectious diseases (OCID) on employees' adherence to COVID-19 guidelines both at work and in their private life. METHOD: We used a two-wave longitudinal online survey with a final sample of N = 304 UK employees. RESULTS: Our results show that OCID during the first lockdown in the UK in April 2020 (T1) was positively linked to adherence to COVID-19 guidelines at work one month later (T2). We also found a relationship between OCID (T1) and adherence to guidelines in one's private life (T2) that was mediated through adherence to guidelines at work (T2). CONCLUSION: These results highlight the pivotal role organizations play in mitigating the COVID-19 pandemic.

Perceptions of the Targets and Sources of COVID-19 Threat are Structured by Group Memberships and Responses are Influenced by Identification with Humankind.

The purpose of this study was to investigate which social groups are perceived as a threat target and which are perceived as a threat source during the COVID-19 outbreak. In a German sample (N = 1454) we examined perceptions of social groups ranging from those that are psychologically close and smaller (family, friends, neighbors) to those that are more distal and larger (people living in Germany, humankind). We hypothesized that psychologically closer groups would be perceived as less affected by COVID-19 as well as less threatening than more psychologically distal groups. Based on social identity theorizing, we also hypothesized that stronger identification with humankind would change these patterns. Furthermore, we explored how these threat perceptions relate to adherence to COVID-19 health guidelines. In line with our hypotheses, latent random-slope modelling revealed that psychologically distal and larger groups were perceived as more affected by COVID-19 and as more threatening than psychologically closer and smaller groups. Including identification with humankind as a predictor into the threat target model resulted in a steeper increase in threat target perception patterns, whereas identification with humankind did not predict differences in threat source perceptions. Additionally, an increase in threat source perceptions across social groups was associated with more adherence to health guidelines, whereas an increase in threat target perceptions was not. We fully replicated these findings in a subgroup from the original sample (N = 989) four weeks later. We argue that societal recovery from this and other crises will be supported by an inclusive approach informed by a sense of our common identity as human beings.

A trouble shared is a trouble halved: The role of family identification and identification with humankind in well-being during the COVID-19 pandemic.

The COVID-19 pandemic has triggered health-related anxiety in ways that undermine peoples' mental and physical health. Contextual factors such as living in a high-risk area might further increase the risk of health deterioration. Based on the Social Identity Approach, we argue that social identities can not only be local that are characterized by social interactions, but also be global that are characterized by a symbolic sense of togetherness and that both of these can be a basis for health. In line with these ideas, we tested how identification with one's family and with humankind relates to stress and physical symptoms while experiencing health-related anxiety and being exposed to contextual risk factors. We tested our assumptions in a representative sample (N = 974) two-wave survey study with a 4-week time lag. The results show that anxiety at Time 1 was positively related to stress and physical symptoms at Time 2. Feeling exposed to risk factors related to lower physical health, but was unrelated to stress. Family identification and identification with humankind were both negatively associated with subsequent stress and family identification was negatively associated with subsequent physical symptoms. These findings suggest that for social identities to be beneficial for mental health, they can be embodied as well as symbolic.