Right-Wing Ideology as a Predictor of Collective Action: A Test Across Four Political Issue Domains

Despite a vast literature documenting motivations for collective action, the role of sociopolitical ideologies, including right-wing ideologies, in predicting collective action is underresearched. Literature on right-wing ideological beliefs suggests that those higher in right-wing authoritarianism (RWA) or social dominance orientation (SDO) hold specific attitudes or endorse specific policies, in part, because of factors such as perceived fear-based threat or empathy. In the present research, structural equation modeling (SEM) was run on pooled data from a diverse Canadian university sample and two American adult samples (total N = 1,469). Participants completed measures of RWA, SDO, fear-based threat, empathy, and domain-specific collective action. Results showed that RWA and SDO both related positively to collective action targeting societal moral breakdown but negatively to collective action aimed at equalizing race relations or fighting climate change. Whereas the indirect effects of right-wing ideologies via fear-based threat or empathy were significant in all four domains for SDO, the indirect effect of RWA was only significant in the climate change domain. Implications are discussed.     

The effects of gendered information in stories on preschool children’s development of gender stereotypes

Social-cognitive theory posits that children learn gender stereotypes through gendered information. The present study examined whether children learn new gender stereotypes from stories when unknown words are linked to a gendered protagonist or context information. In Experiment 1, 40 3- to 6-year-old preschoolers were read stories with either a gendered protagonist embedded within a non-gendered context, or a non-gendered protagonist embedded within a gendered context. In Experiment 2, the same sample of children were read stories with the protagonist and the context displaying congruent or incongruent gender information. Each story featured an unknown activity linked with the stereotypical content. Both experiments indicate that the children rated the activity according to both the gender of the context and of the protagonist; however, the effect of the latter was stronger. In addition, children showed higher interest in the unknown activity if the protagonist’s gender matched their own sex. Thus, gender information in stories influences how children perceive unknown words.     

Making Americans Feel Great Again? Personal Significance Predicts Political Intentions of Losers and Winners of the 2016 U.S. Election

Reactions of losers and winners of political elections have important consequences for the political system during times of power transition. In four studies conducted immediately before and after the 2016 U.S. presidential elections, we investigated how personal significance induced by success or failure of one's candidate is related to hostile versus benevolent intentions toward political adversaries. We found that the less significant supporters of Hillary Clinton and supporters of Donald Trump felt after an imagined (Study 1A) or actual (Study 2) electoral failure the more they were willing to engage in peaceful actions against the elected president and the less they were willing to accept the results of the elections. However, while significance gain due to an imagined or actual electoral success was related to more benevolent intentions among Clinton supporters (Study 1B), it was related to more hostile intentions among Trump supporters (Studies 1B, 2, and 3).     

Promoting parent–infant responsiveness in families experiencing homelessness

My Baby's First Teacher is an intervention designed specifically for parents with infants staying in emergency homeless shelters. Infants are overrepresented in shelter populations and face considerable risk to their development, including mental health. We utilized a randomized controlled design across three family shelters to evaluate the program's effectiveness with 24 dyads assigned to the intervention compared to 21 dyads in care-as-usual. Dyads were randomized by round at each site to account for shelter effects. We used path analysis to illustrate change over time and in relation to intervention assignment.     

Fidgeting as self-evidencing: A predictive processing account of non-goal-directed action

Non-goal-directed actions have been relatively neglected in cognitive science, but are ubiquitous and related to important cognitive functions. Fidgeting is seemingly one subtype of non-goal-directed action which is ripe for a functional account. What's the point of fidgeting? The predictive processing framework is a parsimonious account of brain function which says the brain aims to minimise the difference between expected and actual states of the world and itself, that is, minimise prediction error. This framework situates action selection in terms of active inference for expected states. However, seemingly aimless, idle actions, such as fidgeting, are a challenge to such theories. When our actions are not obviously goal-achieving, how can a predictive processing framework explain why we regularly do them anyway? Here, we argue that in a predictive processing framework, evidence for the agent's own existence is consolidated by self-stimulation or fidgeting. Endogenous, repetitive actions reduce uncertainty about the system's own states, and thus help continuously maintain expected rates of prediction error minimisation. We extend this explanation to clinically distinctive self-stimulation, such as in Autism Spectrum Conditions, in which effective strategies for self-evidencing may be different to the neurotypical case.     

Applying prospect theory to pilot weather-related decision-making: The impact of monetary and time considerations on risk taking behaviour

One of the key findings of prospect theory is that people tend to treat potential gains differently to potential losses. Consistent with earlier findings across a range of areas, pilots were risk averse when faced with an uncertain situation involving monetary gains and risk seeking when faced with a monetary loss. Prospect theory has largely been used to explore monetary decision-making; however, “time” is potentially a more important consideration for pilots than money. For example, how much time can be flown with the current fuel onboard. It was found that pilots' decision behaviour changed when faced with a decision involving time, with pilots risk averse for both a time gain and a time loss situation. Pilots appeared to prefer to know precisely the time required for a journey, rather than take a gamble on a potential short cut. Evidence also suggests pilots were more likely to take risks in situations that they perceive they have more control over (e.g. air traffic delays) compared to dynamic weather-related events. There was some evidence to suggest pilots do not consider a decision in terms of an end state, but rather in terms of losses and gains from their current state. The final part of the study found evidence that it may be possible to predict pilot risk taking behaviour using self-report decision frames.     

Memory distortions: When suggestions cannot be easily ignored

In the present study, the persistence of personal false memories (FMs) after social feedback that denies their truth was assessed. Participants imitated actions performed by the experimenter (Session 1) and watched a doctored video with performed and critical “fake” actions (Session 2), followed by a memory rating and a recognition task. A few days later (Session 3), participants were clearly told that some memories were false and received daily reminders of the correct list of objects/actions before testing their memory again in Session 4. Results of both memory ratings and recognition indicated effective FM implantation. Interestingly, response times for correct rejections were longer for fake than true objects, suggesting participants struggled to ignore false suggestions. Crucial for our aim, Session 4 showed that FM persisted also after the debriefing and repeated presentations of correct list of objects/actions, suggesting that FMs for actions are rather difficult to discard.     

How representations of number and numeracy predict decision paradoxes: A fuzzy-trace theory approach

Higher numeracy has been associated with decision biases in some numerical judgment-and-decision problems. According to fuzzy-trace theory, understanding such paradoxes involves broadening the concept of numeracy to include processing the gist of numbers—their categorical and ordinal relations—in addition to objective (verbatim) knowledge about numbers. We assess multiple representations of gist, as well as numeracy, and use them to better understand and predict systematic paradoxes in judgment and decision-making. In two samples (Ns = 978 and 957), we assessed categorical (some vs. none) and ordinal gist representations of numbers (higher vs. lower, as in relative magnitude judgment, estimation, approximation, and simple ratio comparison), objective numeracy, and a nonverbal, nonnumeric measure of fluid intelligence in predicting: (a) decision preferences exhibiting the Allais paradox and (b) attractiveness ratings of bets with and without a small loss in which the loss bet is rated higher than the objectively superior no-loss bet. Categorical and ordinal gist tasks predicted unique variance in paradoxical decisions and judgments, beyond objective numeracy and intelligence. Whereas objective numeracy predicted choosing or rating according to literal numerical superiority, appreciating the categorical and ordinal gist of numbers was pivotal in predicting paradoxes. These results bring important paradoxes under the same explanatory umbrella, which assumes three types of representations of numbers—categorical gist, ordinal gist, and objective (verbatim)—that vary in their strength across individuals.     

高校教师教学水平评价概化理论预算限制下最佳样本量估计

使用“高校教师教学水平评价问卷”,要求566名学生对19名教师进行评价,对收集到的数据作不同的概化设计,包括t×i、（s：t）×i、（s：t）×（i：v）和（s：t）×（i：v）×o四种设计。基于概化理论,结合预算限制,统一LaGrange乘法公式,自行推导不同设计的最佳样本量公式,联合估计的方差分量,计算出不同设计的最佳样本量。结果表明：（1）LaGrange乘法统一公式表现出较强的通用性,能够适用于预算限制下各种概化设计;（2）评价场合是影响高校教师教学水平评价一个相当重要的因素;（3）（s：t）×（i：v）×o是高校教师教学水平评价概化理论预算限制下最优概化设计;（4）高校教师教学水平评价概化理论预算限制下,每位教师最佳评价学生人数为20人,每个维度最佳评价题目数为3题。     

Applying theory to the black box: A model for empirically scoring biodata

Despite being an effective predictor of job performance, empirically keyed biodata assessments have been criticized as black box empiricism unlikely to generalize to new contexts. This paper introduces a model that challenges this perspective, explicating how biodata content, job demands, and criterion variables collectively influence the construct validity, and generalizability of empirically scored biodata. Across two field studies, expected changes in scale correlations with external measures were found that coincided with changes in the contextual similarity between calibration and holdout contexts, the criteria used, and the content validity of biodata items. Collectively, this paper offers a framework that helps understand and optimize empirical biodata keying in practice, furthering confidence for their use in applied settings.