Perceived discrimination is associated with poorer health and well‐being outcomes among Pacific peoples in New Zealand

Our study investigated the association between perceived discrimination and outcomes related to health and well‐being for Pacific adults in New Zealand. We examined personal and group discrimination from the 2013 wave of the New Zealand Attitudes and Values Study (n = 429 women and 196 men). Personal discrimination was associated with poorer health and well‐being outcomes (higher psychological distress and lower self‐esteem, subjective evaluation of health, satisfaction with life and personal well‐being). Group discrimination, in contrast, was associated with poorer well‐being but not health outcomes (lower subjective evaluation of health and personal well‐being). These findings corroborate previous research and highlight the corrosive effect of discrimination towards health and well‐being among Pacific communities in New Zealand.     

Sticking to common values: Neighbourhood social cohesion moderates the effect of value congruence on life satisfaction

This article aims to explicate the role of social cohesion in the relationship between adherence to common values and life satisfaction. Shared values are often assumed to be a constitutive element of social cohesion and are used in measurement of the concept. However, sociopsychological theory of values sees social cohesion rather as a moderator of the link between value congruence and life satisfaction, not as a constituent of value congruence. Based on a representative survey of the city of Bremen, Germany (N = 2605), we predict life satisfaction from person‐group value congruence and neighbourhood social cohesion. We find no relationship between value congruence and social cohesion, but a significant positive moderating effect of social cohesion on the relationship between value congruence and life satisfaction. The findings suggest that sticking to common values does not increase social cohesion, but that positive effects of value congruence are more pronounced in high‐cohesion neighbourhoods.     

Shivering for Status: When Cold Temperatures Increase Product Evaluation

While anecdotal evidence suggests that consumers maintain an association between high‐status products and cold temperature, no research has empirically examined this linkage. We propose and demonstrate that physical cold can indeed increase consumers’ perceptions of a product's status signaling and luxuriousness. We demonstrate this consequence can stem from tactile or visually induced temperatures and ultimately increase consumers’ overall evaluations of products. Finally, we highlight boundary conditions for when the effect is likely to manifest. Our findings offer theoretical contributions along with several practical implications for retailing, product design, brand management, and marketing communications.     

Clinical research on behavioral activation as treatment for post‐traumatic stress disorder: A brief review and meta‐analysis

Behavioral activation (BA), an effective treatment for depression, has recently been receiving attention as a possible intervention for PTSD. BA interventions could be particularly useful in treating underserved populations (i.e., individuals with lower socioeconomic status). A literature search was conducted, which identified seven outcome studies that examined the effectiveness of stand‐alone BA treatment for individuals with PTSD. All studies identified for this brief review demonstrated clinically significant reductions in PTSD symptoms using BA as an intervention. A meta‐analysis of these few studies revealed a nonsignificant effect (Cohen's d = 0.713, p = .512) despite reporting an average symptom reduction of 25.8%. Other studies utilizing BA treatment for PTSD do so in tandem with other interventions and were excluded from analysis. This brief review summarizes the literature on the use of BA as a stand‐alone treatment for PTSD and suggests that future research seek to confirm the usefulness of BA as a potential treatment modality for mental health‐care providers treating individuals with PTSD.     

Salient Volunteering Behavior Increases Monetary Risk‐taking

Research finds that engaging in prosocial behavior has many positive psychological outcomes (e.g., enhanced well‐being, optimism, perceived control, and a boost in self‐concept), and research on monetary risk‐taking reveals these psychological outcomes are associated with increased risk‐taking. Merging these findings, we propose that when people's volunteering behavior is made salient in their minds, they take more monetary risks. Making research participants’ volunteering behavior salient by having them recall an act of prior volunteering (studies 1 and 3), choosing whether to volunteer (study 2), or choosing one of two volunteering activities (study 4), four experiments (and a fifth reported in the Appendix S2) reveal increased risk‐taking across several monetary‐risk outcomes (incentive‐compatible gambles, allocation of a windfall gain, and a behavioral risk‐taking measure involving escalating risk). Lastly, when the decision maker attributes a decision to volunteer to an external source, the effect of salient volunteering on monetary risk‐taking attenuates.     

Investigating route learning,metacognition, and beacon-based strategies using virtual environments

IntroductionDominant theories of wayfinding may have underestimated the ease with which adults can learn a route, even with minimal exposure to that route.ObjectivesIn this paper we present three different experiments to provide a comprehensive picture of whether adults can learn complex routes consisting of a number of choicepoints, and if so, what strategies they might be employing to do so.Methodand results We found that adults could learn a 15-junction route after only a single experience of the route (Experiment 1) but that they underestimated how good they would be at learning the 15-junction route (Experiment 2). In Experiment 3, we found that when learning a route made up of “T” shaped junctions, participants relied on a “beacon” strategy based on visual matching.ConclusionsCollectively, these findings suggest that adults can learn complex routes, even with as many as 15 choicepoints, very quickly and without the need for repeated exposure. These findings have implications for theories of wayfinding and call into question the need for repeated exposure.     

Mapping differential responses to cognitive training using machine learning

We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self‐organizing maps (SOMs)—a type of simple artificial neural network—to represent multivariate cognitive training data, and then tested whether the way tasks are represented changed as a result of training. The patterns of change we observed in the SOM weight matrices implied that the processes drawn upon to perform WM tasks changed following training. This was then combined with K‐means clustering to identify distinct groups of children who respond to the training in different ways. Firstly, the K‐means clustering was applied to an independent large sample (N = 616, M_age = 9.16 years, range = 5.16–17.91 years) to identify subgroups. We then allocated children who had been through cognitive training (N = 179, M_age = 9.00 years, range = 7.08–11.50 years) to these same four subgroups, both before and after their training. In doing so, we were able to map their improvement trajectories. Scores on a separate measure of fluid intelligence were predictive of a child's improvement trajectory. This paper provides an alternative approach to analysing cognitive training data that go beyond considering changes in individual tasks. This proof‐of‐principle demonstrates a potentially powerful way of distinguishing task‐specific from domain‐general changes following training and of establishing different profiles of response to training.     

The role of epistemic and social characteristics in children’s selective trust: Three meta‐analyses

Over the last 15 years, researchers have been increasingly interested in understanding the nature and development of children’s selective trust. Three meta‐analyses were conducted on a total of 51 unique studies (88 experiments) to provide a quantitative overview of 3‐ to 6‐year‐old children’s selective trust in an informant based on the informant’s epistemic or social characteristics, and to examine the relation between age and children’s selective trust decisions. The first and second meta‐analyses found that children displayed medium‐to‐large pooled effects in favor of trusting the informant who was knowledgeable or the informant with positive social characteristics. Moderator analyses revealed that 4‐year‐olds were more likely to endorse knowledgeable informants than 3‐year‐olds. The third meta‐analysis examined cases where two informants simultaneously differed in their epistemic and social characteristics. The results revealed that 3‐year‐old children did not selectively endorse informants who were more knowledgeable but had negative social characteristics over informants who were less knowledgeable but had positive social characteristics. However, 4‐ to 6‐year‐olds consistently prioritized epistemic cues over social characteristics when deciding who to trust. Together, these meta‐analyses suggest that epistemic and social characteristics are both valuable to children when they evaluate the reliability of informants. Moreover, with age, children place greater value on epistemic characteristics when deciding whether to endorse an informant’s testimony. Implications for the development of epistemic trust and the design of studies of children’s selective trust are discussed.     

Statistical learning of multiple speech streams: A challenge for monolingual infants

Language acquisition depends on the ability to detect and track the distributional properties of speech. Successful acquisition also necessitates detecting changes in those properties, which can occur when the learner encounters different speakers, topics, dialects, or languages. When encountering multiple speech streams with different underlying statistics but overlapping features, how do infants keep track of the properties of each speech stream separately? In four experiments, we tested whether 8‐month‐old monolingual infants (N = 144) can track the underlying statistics of two artificial speech streams that share a portion of their syllables. We first presented each stream individually. We then presented the two speech streams in sequence, without contextual cues signaling the different speech streams, and subsequently added pitch and accent cues to help learners track each stream separately. The results reveal that monolingual infants experience difficulty tracking the statistical regularities in two speech streams presented sequentially, even when provided with contextual cues intended to facilitate separation of the speech streams. We discuss the implications of our findings for understanding how infants learn and separate the input when confronted with multiple statistical structures.     

Do infants have a sense of numerosity? A p‐curve analysis of infant numerosity discrimination studies

Research demonstrating that infants discriminate between small (e.g., 1 vs. 3 dots) and large numerosities (e.g., 8 vs. 16 dots) is central to theories concerning the origins of human numerical abilities. To date, there has been no quantitative meta‐analysis of the infant numerical competency data. Here, we quantitatively synthesize the evidential value of the available literature on infant numerosity discrimination using a meta‐analytic tool called p‐curve. In p‐curve the distribution of available p‐values is analyzed to determine whether the published literature examining particular hypotheses contains evidential value. p‐curves demonstrated evidential value for the hypotheses that infants can discriminate between both small and large unimodal and cross‐modal numerosities. However, the analyses also revealed that the published data on infants’ ability to discriminate between large numerosities is less robust and statistically powered than the data on their ability to discriminate small numerosities. We argue there is a need for adequately powered replication studies to enable stronger inferences in order to use infant data to ground theories concerning the ontogenesis of numerical cognition.