Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes

We examine emotion self-regulation and coregulation in romantic couples using daily self-reports of positive and negative affect. We fit these data using a damped linear oscillator model specified as a latent differential equation to investigate affect dynamics at the individual level and coupled influences for the 2 partners in each couple. Results indicate an absence of damping of relationship-specific affect within individuals in the sample. When both positive and negative affect are modeled at the individual level, the influence of positive affect is greater than that of negative affect. At the dyad level, the findings indicate coupled influences in both positive and negative affect between partners. With regard to positive affect, females are sensitive to their partners' overall displacement from average as well as their rate of change; males are sensitive only to their partners' displacement from average. For negative affect both partners are sensitive to each other's displacement from average, yet there are no coupled influences for rates of change in this dimension. We interpret the influence of the parameters on the system by examining the expected behavior of the system as a function of varying parameter values.     

An Unscented Kalman Filter Approach to the Estimation of Nonlinear Dynamical Systems Models

In the past several decades, methodologies used to estimate nonlinear relationships among latent variables have been developed almost exclusively to fit cross-sectional models. We present a relatively new estimation approach, the unscented Kalman filter (UKF), and illustrate its potential as a tool for fitting nonlinear dynamic models in two ways: (1) as a building block for approximating the log–likelihood of nonlinear state–space models and (2) to fit time-varying dynamic models wherein parameters are represented and estimated online as other latent variables. Furthermore, the substantive utility of the UKF is demonstrated using simulated examples of (1) the classical predator-prey model with time series and multiple–subject data, (2) the chaotic Lorenz system and (3) an empirical example of dyadic interaction.     

The Implicit Image of God: God as Reality and Psychological Well‐Being

Research has widely demonstrated that religiosity is related to psychological well‐being even in situations of severe illness. To assess religious beliefs, explicit measures have generally been used. In this study, we measured the belief that God is reality as opposed to myth or abstraction by using an implicit technique (the Single Category Implicit Association Test). The study was carried out in Italy, where a large majority of the population is Catholic, and the prevailing image of God is that of a compassionate and supportive father. Participants were cancer patients identifying themselves as believers. As expected, the automatic belief that God is reality (vs. abstraction) was related to beneficial outcomes: lower reported psychophysical anxiety symptoms and a weaker use of avoidance strategies to cope with stress. Thus, also, automatic religious beliefs may affect feelings and behaviors.     

Examining how people reason about controversial scientific topics

Improving scientific literacy requires examining both what people believe about scientific issues and why they hold those beliefs. We examined how people justified their agreement with statements regarding evolution, climate change, genetically modified foods, and vaccinations. Participants rated their level of agreement with statements reflecting the scientific consensus on these topics, then responded to open-ended questions asking them to justify their position and to generate challenges to their belief. Responses to individual difference measures allowed us to assess the relationship between participants’ positions on these scientific issues and cognitive style, conspiracy ideation, religious service attendance, and political ideology. Qualitative analyses revealed inconsistent and topic-specific patterns of reasoning. Additionally, greater agreement with scientific conclusions was related to a greater predisposition towards analytical thinking and stronger self-reported political liberalism. These findings provide a next step for better understanding why some individuals reject science and for developing more effective means of improving science acceptance.     

Revisiting the Effects of Anger on Risk‐Taking: Empirical and Meta‐Analytic Evidence for Differences Between Males and Females

That anger elicited in one situation can carry over to drive risky behavior in another situation has been described since the days of Aristotle. The present studies examine the mechanisms through which and the conditions under which such behavior occurs. Across three experiments, as well as a meta‐analytic synthesis of the data, results reveal that incidental anger is significantly more likely to drive risky decision making among males than among females. Moreover, the experiments document that, under certain circumstances, such risk‐taking pays off financially. Indeed, the present experiments demonstrate that, because the expected‐value‐maximizing strategy in these studies rewarded risk‐taking, angry‐male individuals earned more money than did both neutral‐emotion males and angry females. In sum, these studies found evidence for robust disparities between males and females for anger‐driven risk‐taking. Importantly, although men did not experience more anger than women, they did show a heightened tendency to respond to anger with risk‐taking. Published 2016. This article has been contributed to by US Government employees and their work is in the public domain in the USA.     

A Structural Equation Model for the School Reinforcement Survey Schedule: Italian and American Early Adolescents

The School Reinforcement Survey Schedule (SRSS) was administered to 2,828 boys and girls in middle schools in the United States and an Italian translation was administered to 342 boys and girls in middle schools in Northern Italy. An exploratory factor analysis using half the American data set was performed using maximum likelihood estimation with a promax rotation. This analysis produced a structural equation model with six interpretable latent variables. This analysis was confirmed by results demonstrating a good fit with the other half of the American sample and separately with the Italian sample. Scores for the six latent variables were constructed and information about the distribution of scores was obtained. Multiple comparisons of the means were performed by gender, within each national sample, for each of the six latent variables. American and Italian girls report obtaining greater enjoyment from a wider variety of school activities compared to American and Italian boys.     

Effect of arousal increase in predictable and random task switching: evidence for the involvement of the anterior attentional network in random but not in predictable task switching

Switch cost does not disappear as more preparation time for the next task is allowed. Tornay and Milán showed that the residual cost is smaller when tasks switch randomly than when they alternate in predictable sequences. They proposed that the difference was due to control mechanisms (anterior attentional network) being activated in the random condition because of its overall difficulty. Besides, it has been shown that increasing arousal levels inhibits the anterior attentional network. Therefore, Tornay and Milán's account predicts that high arousal should result in switch cost for the random condition increasing to the levels of predictable switching. In this work, this prediction was tested by assessing the interaction between increased arousal and switch cost with both predictable and random-task switching. The results may help to solve the ongoing controversy about the causes of switch cost.     

Implicit orientation toward family and school among bilingual Latino college students

The authors examined the associations that underlie the orientations of bilingual Latino college students toward family and school. Participants completed, in English or Spanish, 3 implicit association tests assessing their attitude toward family vs. school, identifications with these concepts, and self-esteem. Results revealed a more positive attitude toward, and stronger identification with, family than school. Identification with family was stronger among participants who completed the study in English, suggesting self-definition in terms of distinctions from the context. Last, the more participants valued family over school and identified with family rather than school, the higher was their self-esteem. These findings shed light on the subtle, yet crucial, mechanisms by which cultural knowledge is incorporated in the self-concept of bilingual Latino college students.