Shame,posttraumatic stress disorder,and intimate partner violence perpetration

Drawing from theoretical and empirical literature linking shame to aggression and violence, the authors propose that shame may be an important variable to examine in studies of posttraumatic stress disorder (PTSD) and intimate partner violence (IPV) perpetration. The authors review the literature linking shame, PTSD, and IPV, propose ideas for future research, and suggest that shame and shame regulation may be a useful target of clinical interventions aimed at violence perpetrators.     

Surviving Abuse: Shame,Anger, Forgiveness

The issue of forgiveness affects everyone at some time or another; whether young or old, male or female, Christian or not. For the survivor of abuse, the issue of forgiveness journeys with them profoundly influencing their life, their recovery, and even their faith. Surviving Abuse: Shame, Anger, Forgiveness is an attempt to develop a theology of forgiveness from the perspective of a survivor of abuse.     

Screening for Significant Behavior Problems in Diverse Young Children Living in Poverty

The development and use of first line screening instruments is an essential first step in assessing behavior disorders in very young children. The Early Childhood Behavior Screen (ECBS) is a parent-report measure for behavior disorders and is normed on young children (1–5 years old) living in poverty. The current study presents psychometric support for the discriminative validity of the ECBS’s 10-item Challenging Behavior Scale (CBS) as a first-line screener for externalizing behavior problems for preschool aged-children in poverty. The study’s sample included 673 participants (M age years = 2.81; 63.2 % male; 65.8 % African American) that all met the federal definitional standard for living in poverty. A confirmatory factor analysis was run to provide support for the ECBS factor structure. Receiver operating characteristics (ROC) curve analyses were used to test the CBS’s ability to distinguish between 428 clinic-referred children and 245 non-clinic-referred children. Results showed an acceptable fit model for the ECBS, providing further evidence of its construct validity. Optimal cut-scores by child age derived from the ROC curve analyses were provided with corresponding levels of sensitivity, specificity, and positive and negative predictive values. Sensitivity rates for cut scores ranged from 0.76 to 0.83 and specificity rates ranged from 0.88 to 0.95. Acceptable test–retest reliability and good internal consistency also was observed. The CBS quickly identifies young children from low-income, urban, diverse populations that may be at-risk for developing significant behavior disorders and should be considered by health care professionals who work with very young children.     

The neurodynamics of emotion: delineating typical and atypical emotional processes during adolescence

The study of development is, in and of itself, the study of change over time, but emotions, particularly emotional reactivity and emotional regulation, also unfold over time, albeit over briefer time‐scales. Adolescence is a period of development characterized by marked changes in emotional processes and rewiring of the underlying neural circuitry, making this time of life formative. Yet this period is also a time of increased risk for anxiety and mood disorders. Changes in the temporal dynamics of emotional processes (e.g. magnitude, time‐to‐peak and duration) occur during this developmental period and have been associated with risk for mood and anxiety disorders. In this article, we describe how the temporal dynamics of emotions change during adolescence and how they may increase risk for these psychopathologies. We highlight studies that illustrate how formalizing temporal neurodynamics of emotion may enhance links among levels of analyses from neurobiological to real‐world, moment‐to‐moment experiences.     

Candidate Voice Pitch Influences Election Outcomes

A growing literature in psychology shows that human voice pitch—perceived “highness” or “lowness” as determined by the physiology of the throat—influences how speakers are perceived. This leads to the prediction that candidate voice pitch influences voters. Here this question is addressed with two studies. The first is an experiment conducted with a large national sample of U.S. adults. The results show that men and women prefer to vote for male and female candidates with lower pitched voices. The second study examines the outcomes of the 2012 U.S. House elections. When facing male opponents, candidates with lower voices won a larger vote share. However, when facing female opponents, candidates with higher voices were more successful and particularly so in the case of male candidates. In synthesizing research on the human voice and voter behavior and triangulating evidence from a controlled experiment and a large observational study of actual elections, this article illustrates that candidate voice pitch influences election outcomes.     

The profile of abstract rule learning in infancy: Meta‐analytic and experimental evidence

Everyone agrees that infants possess general mechanisms for learning about the world, but the existence and operation of more specialized mechanisms is controversial. One mechanism—rule learning—has been proposed as potentially specific to speech, based on findings that 7‐month‐olds can learn abstract repetition rules from spoken syllables (e.g. ABB patterns: wo‐fe‐fe, ga‐tu‐tu…) but not from closely matched stimuli, such as tones. Subsequent work has shown that learning of abstract patterns is not simply specific to speech. However, we still lack a parsimonious explanation to tie together the diverse, messy, and occasionally contradictory findings in that literature. We took two routes to creating a new profile of rule learning: meta‐analysis of 20 prior reports on infants’ learning of abstract repetition rules (including 1,318 infants in 63 experiments total), and an experiment on learning of such rules from a natural, non‐speech communicative signal. These complementary approaches revealed that infants were most likely to learn abstract patterns from meaningful stimuli. We argue that the ability to detect and generalize simple patterns supports learning across domains in infancy but chiefly when the signal is meaningfully relevant to infants’ experience with sounds, objects, language, and people.