Optimizing Engagement in Behavioral Parent Training: Progress Toward a Technology-Enhanced Treatment Model

Low-income families are more likely to have a child with an early-onset Behavior Disorder (BD); yet, socioeconomic strain challenges engagement in Behavioral Parent Training (BPT). This study follows a promising pilot to further examine the potential to cost-effectively improve low-income families’ engagement in and the efficiency of BPT. Low-income families were randomized to (a) Helping the Noncompliant Child (HNC; McMahon & Forehand, 2003), a weekly, mastery-based BPT program that includes both the parent and child or (b) Technology-Enhanced HNC (TE-HNC), which includes all of the standard HNC components plus a parent mobile application and therapist web portal that provide between-session monitoring, modeling, and coaching of parent skill use with the goal of improved engagement in the context of financial strain. Relative to HNC, TE-HNC families had greater homework compliance and mid-week call participation. TE-HNC completers also required fewer weeks to achieve skill mastery and, in turn, to complete treatment than those in HNC without compromising parent satisfaction with treatment; yet, session attendance and completion were not different between groups. Future directions and clinical implications are discussed.     

I can see myself helping: The effect of self-awareness on prosocial behaviour

Many studies indicate that increasing self-awareness leads to individuals reflecting on their values and ideals (Silvia & Duval, 2001). This self-reflection appears to increase prosocial behaviour (Berkowitz, 1987). However, previously studies typically manipulated self-awareness in situations in which the individual may have felt pressure from the researcher to help. Thus, experimenter pressure to behave prosocially confounds the self-awareness explanation provided in past research. We used a novel experimental paradigm to manipulate self-awareness and remove the researcher's presence to decrease the likelihood that the participant would conform to experimenter demand. Participants were 36 college students (M_age = 19.52; 25 women). The results indicated a strong probability that the experimental condition participants were more prosocial than control condition participants. These findings provide additional support for the hypothesis that self-reflection increases prosocial behaviour, even without experimenter demands. These findings and the importance of studying objective self-awareness in light of the coronavirus are discussed.     

Using Three Reporters to Identify Pre-Adolescent Peer Victims through Latent Profile Analysis

Research on Child and Adolescent Psychopathology - The goals of the current study were to use a three-reporter methodology and multi-level Latent Profile Analysis: (a) to determine the victim...     

Defensive Partisanship? Evidence that In-Party Scandals Increase Out-Party Hostility

Contemporary U.S. politics is characterized by polarization and interpartisan antipathy. This is accompanied by a media landscape saturated with coverage of political scandals. Applying a social identity perspective, we examined whether exposure to scandals that threaten partisan's moral group image (i.e., in-party scandals), may motivate defensive hostility against opposing partisans. Across three experiments we exposed U.S. partisans to scandals attributed to either in-party or out-party politicians. We then assessed partisan hostility using a variety of operationalizations, including anger at a real outgroup politician (Study 1), judgments about the alleged misdeeds of a fabricated outgroup politician (Study 2), and negative perceptions of opposing party members (Study 3). Strength of partisan identity was assessed as a predicted moderator (Study 3). As expected in- (vs. out-) party scandals, were perceived as group-image threats and elicited greater hostility towards opposing partisans, independent of partisans' ideological extremity or prior affective polarization.     

Perceived Parameters of Christian Pharmacy Students’ Faith-Sharing in Clinical Settings

Journal of Religion and Health - Our interdisciplinary team (which included professionals from nursing, pharmacy, allied health, and psychology) conducted in-depth, semi-structured interviews with...     

Midline Thalamic Damage Associated with Alcohol-Use Disorders: Disruption of Distinct Thalamocortical Pathways and Function

Neuropsychology Review - The thalamus, a significant part of the diencephalon, is a symmetrical and bilateral central brain structure. The thalamus is subdivided into three major groups of nuclei...     

Does Religious Activity Distinguish the Mortality Experiences of Older Taiwanese? An Analysis Using Eighteen Years of Follow-Up Data

This paper extends investigation of religiosity and longevity to Taiwan using a 1989 survey: N = 3849, aged 60+, with 18 years of follow-up. Religious activity is measured as worship and performance of rituals. A Gompertz regression, adjusted and non-adjusted for covariates and mediating factors, shows the hazard of dying is lower for the religiously active versus the non-active. Transformed into life table functions, a 60-year-old religiously active Taiwanese female lives more than 1 year longer than her non-religious counterpart, ceteris paribus. Mainland Chinese migrants are examined carefully because of unique religious and health characteristics. They live longer, but the religiosity gap is similar.

     

A Process Model of Causal Reasoning

How do we make causal judgments? Many studies have demonstrated that people are capable causal reasoners, achieving success on tasks from reasoning to categorization to interventions. However, less is known about the mental processes used to achieve such sophisticated judgments. We propose a new process model—the mutation sampler—that models causal judgments as based on a sample of possible states of the causal system generated using the Metropolis–Hastings sampling algorithm. Across a diverse array of tasks and conditions encompassing over 1,700 participants, we found that our model provided a consistently closer fit to participant judgments than standard causal graphical models. In particular, we found that the biases introduced by mutation sampling accounted for people's consistent, predictable errors that the normative model by definition could not. Moreover, using a novel experimental methodology, we found that those biases appeared in the samples that participants explicitly judged to be representative of a causal system. We conclude by advocating sampling methods as plausible process-level accounts of the computations specified by the causal graphical model framework and highlight opportunities for future research to identify not just what reasoners compute when drawing causal inferences, but also how they compute it.