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.     

The impacts of ignoring individual mobility across clusters in estimating a piecewise growth model

A three-level piecewise growth model (3L-PGM) can be used to break up nonlinear growth into multiple components, providing the opportunity to examine potential sources of variation in individual and contextual growth within different segments of the model. The conventional 3L-PGM assumes that the data are strictly hierarchical in nature, where measurement occasions (level 1) are nested within individuals (level 2) who are members of a single cluster (level 3). However, in longitudinal research, it is sometimes difficult for data structures to remain purely clustered during a study, such as when some students change classrooms or schools over time. One resulting data structure in this situation is known as a multiple membership structure, where some lower-level units are members of more than one higher-level unit. The new multiple membership PGM (MM-PGM) extends the 3L-PGM to handle multiple membership data structures frequently found in the social sciences. This study sought to examine the consequences of ignoring individual mobility across clusters when estimating a 3L-PGM in comparison to estimating a MM-PGM. MM-PGM estimates were less biased (especially in the cluster-level coefficient estimates), although we found substantial bias in cluster-level variance components across some conditions for both models.     

More Aboutness in Imagination

Journal of Philosophical Logic - In Berto’s logic for aboutness in imagination, the output content of an imaginative episode must be part of the initial content of the episode (Berto, Philos...     

Examining the Potential Mental Health Costs of Defending Victims of Bullying: a Longitudinal Analysis

Research on Child and Adolescent Psychopathology - It has been speculated that defending victims of bullying is stressful for youth, and may contribute to poor mental health among those who...     

Correction to: Suicidal Mental Imagery in Psychiatrically Hospitalized Adolescents

Research on Child and Adolescent Psychopathology - A correction to this paper has been published: https://doi.org/10.1007/s10802-021-00827-8     

“This one’s on me!”: Differential well-being effects of self-centered and recipient-centered motives for spending money on others

Motivation and Emotion - Past research reliably shows that spending money on others (termed prosocial spending) makes people happier than spending money on oneself. The present research tested...     

Expectations in Romantic Relations and Psychological Well-Being of Adolescents in Pakistan: Moderating Role of Parental Support

The objective of the current study was to investigate the role of perceived parental support as a moderator in the association between adolescents’ expectations in romantic relations and their psychological well-being. The sample consisted of 647 adolescents (boys = 285, girls = 362). Their age ranged from 16 to 18 years (M = 17.19 years, SD = .77) and they were regular students in different colleges of Islamabad and Rawalpindi. They completed the Perceived Parental Support Scale, the Well-being Questionnaire-W-BQ12 and the Romantic Relations Scale for Adolescents. The results showed that there were significant gender differences on expectations in romantic relations and psychological well-being with girls scoring higher than boys on expectations in romantic relations while boys scoring higher than girls on psychological well-being. The results also indicated that there was a significant negative association between expectations in romantic relations and psychological well-being. Findings of the moderation analysis showed that perceived parental support moderated the association. Simple slope analysis indicated that there was a significant negative slope for low and medium levels of perceived parental support while the slope was non-significant for high levels of perceived parental support. These results indicated that perceived parental support counters the negative effect of expectations in romantic relations on psychological well-being during adolescence. It is suggested that perceived parental support is important in planning interventions to improve the well-being of adolescents.     

Jail‐based competency treatment comes of age: Multi‐site outcomes and challenges to the implementation of an evidence‐based forensic continuum

The jail‐based competency treatment (JBCT) model has become an established forensic practice across the country. From the perspective of implementation science and the three core elements of the Promoting Action on Research Implementation in Health Service (PARiHS) framework, the JBCT model is a remarkable example of how context (an unrelenting and overwhelmingly strong demand for forensic beds) has driven multiple state governments to facilitate implementation of a methodology in the absence of empirical evidence supporting its efficacy. This 7‐year study of outcomes from four JBCT program sites provides this much‐needed evidence by showing that JBCT restored 56% of 1553 male and 336 female patients over an average of 48.7 days. At the same time, the study highlights how variations in JBCT models, methods, and preadmission stabilization time present challenges to planned and effective implementation of evidence‐based practice at the statewide system level. By identifying differential responsiveness to JBCT treatment by diagnosis and other factors, the study suggests preliminary implementation ideas for what types of patients are well served by the JBCT model as part of a continuum of restoration options that includes inpatient, outpatient and diversion. Significant findings showed that JBCT patients were restored at a higher rate and in a shorter time if they were female, < 20 years old (highest restoration rate; those < 60 years old also significantly better rates), free of co‐occurring intellectual and cognitive deficits, and malingering. Of the major diagnoses, schizoaffective disorder required a significantly longer length of JBCT treatment for restoration, and lower restoration rates than schizophrenia and bipolar disorder, although this was moderated by a significant interaction with abuse of amphetamines.     

The Greta Thunberg Effect: Familiarity with Greta Thunberg predicts intentions to engage in climate activism in the United States

Despite Greta Thunberg's popularity, research has yet to investigate her impact on the public's willingness to take collective action on climate change. Using cross-sectional data from a nationally representative survey of U.S. adults (N = 1,303), we investigate the “Greta Thunberg Effect,” or whether exposure to Greta Thunberg predicts collective efficacy and intentions to engage in collective action. We find that those who are more familiar with Greta Thunberg have higher intentions of taking collective actions to reduce global warming and that stronger collective efficacy beliefs mediate this relationship. This association between familiarity with Greta Thunberg, collective efficacy beliefs, and collective action intentions is present even after accounting for respondents’ overall support for climate activism. Moderated mediation models testing age and political ideology as moderators of the “Greta Thunberg Effect” indicate that although the indirect effect of familiarity with Greta Thunberg via collective efficacy is present across all age-groups, and across the political spectrum, it may be stronger among those who identify as more liberal (than conservative). Our findings suggest that young public figures like Greta Thunberg may motivate collective action across the U.S. public, but their effect may be stronger among those with a shared political ideology. Implications for future research and for broadening climate activists’ appeals across the political spectrum are discussed.