Latinx Parents’ Perception of Discrimination and Ethnic/Racial Socialization Predict Their Elementary School Children’s Perceptions of Discrimination

Journal of Child and Family Studies - The present study examined whether Latinx parents’ perceptions of personal discrimination and perception of biases against Latinx people in the United...     

Family-of-Origin Factors and Physical Teen Dating Violence Victimization and Perpetration: A Meta-Analysis

Journal of Child and Family Studies - The purpose of this meta-analysis is to explore the relationship between family-of-origin factors (i.e., attachment, witnessing inter-parental violence,...     

A review of existing measures of attentional biases in body image and eating disorders research

Cognitive theories emphasise the important role of attentional biases in the development and maintenance of body image issues and eating pathology. A wealth of research has been conducted to examine attentional biases toward body‐related information among individuals with eating pathology. However, there is considerable variability in the methods that have been used to measure attention and, importantly, these methods tap into different attentional processes. Given the multifaceted nature of attention, it is important for researchers to select the right tools to test their hypotheses. This review critically evaluates the attentional measures that have been used in previous research, primarily the modified Stroop task, dot probe task, visual search task, and eyetracking. The strengths and limitations of each measure will be discussed in order to provide a guide for researchers to further investigate the attentional mechanisms underlying body image issues and eating disorders. Overall, we recommend that researchers use a combination of eyetracking technology and specific reaction‐time measures that target the specific attentional mechanism of interest.     

Using Retrieval Cues to Attenuate Return of Fear in Individuals With Public Speaking Anxiety

Even after successful exposure, relapse is not uncommon. Based on the retrieval model of fear extinction (e.g., Vervliet, Craske, & Hermans, 2013), return of fear can occur after exposure due to an elapse of time (spontaneous recovery) or change in context (contextual renewal). The use of external salient stimuli presented throughout extinction (i.e., retrieval cues [RCs]) has been suggested as a potential solution to this problem (Bouton, 2002). The current study examined whether RCs attenuated return of fear in individuals with public speaking anxiety. Sixty-five participants completed a brief exposure while presented with two RC stimuli aimed at a variety of senses (visual, tactile, olfactory, and auditory). Later, half the participants were tested for return of fear in a context different from the exposure context, and the other half in the same context. Half of each context group were presented with the same cues as in exposure, while the other half were not. Return of fear due to an elapse of time, change in context, and effects of RCs were evaluated on subjective, behavioral, and physiological measures of anxiety. Although contextual renewal was not observed, results supported effects of RCs in reducing spontaneous recovery on behavioral and physiological measures of anxiety. There was also evidence that participants who were reminded of feeling anxious during exposure by the RCs benefited more from using them at follow-up, whereas those who perceived the cues as comforting (safety signals) benefited less. Clinical implications of the findings are discussed.     

Comparative difficulty and the strategic regulation of accuracy: The impact of test-list context on monitoring and meta-metacognition

A growing body of research has shown that context manipulations can have little or no impact on accuracy performance, yet still significantly influence metacognitive performance. For example, participants in a test-list context paradigm study one list of words with a medium levels-of-processing task and a second word list with either a shallow or deep task: Recognition for medium words does not differ across conditions, however medium words are significantly more likely to be labeled as “remembered” (vs. merely familiar) if they had been studied with a shallow word list (Bodner & Lindsay, 2003). The goal of the current studies was to extend the test-list context paradigm to strategic regulation (report/withhold recognition test), and broaden it to incorporate different types of stimuli (i.e., face stimuli in place of a medium word list). The paradigm also was modified to include separate answer (studied/new) confidence and decision (report/withhold) confidence ratings at test. Results showed that context did not impact recognition accuracy for faces across the context conditions, however participants were more likely to report (i.e., volunteer) their face responses if they had studied the shallow word list. The results also demonstrated a difference between answer confidence and decision confidence, and the pattern of this difference depended on whether responses were reported or withheld (Experiment 1). Overall, the data are presented as support for the functional account of memory, which views memory states as inferential and attributional rather than static categories.     

“Like Drawing Into Sand”: Acceptability,Feasibility, and Appropriateness of a New e‐Mental Health Resource for Service Providers Working With Aboriginal and Torres Strait Islander People

Cross‐cultural considerations and difficulties recruiting and retaining skilled workers in rural and remote regions may contribute to poorer service use for Aboriginal and Torres Strait Islander people. However, electronic resources may provide the opportunity for remote workforces to deliver structured, evidence‐based, culturally appropriate treatments with limited training burden. The aim was to develop and determine the acceptability, feasibility, and appropriateness of a new e‐mental health resource (the Australian Integrated Mental Health Initiative [AIMhi] Stay Strong App) for service providers working with Aboriginal and Torres Strait Islander people in the Northern Territory. Eleven semi‐structured interviews were conducted with 15 service providers and managers from a range of rural and remote primary health care service settings in the Northern Territory. All participants were given the resource to trial for at least 1 month before being interviewed about perceived barriers and enablers, acceptability, and feasibility. Thematic analysis revealed support for the acceptability, feasibility, and appropriateness of the resource among service providers. Major themes identified included acceptability, building relationships, broad applicability, training recommendations, integration with existing systems, and constraints to implementation. This is one of the first studies to explore the acceptability of e‐mental health approaches for Aboriginal people among the remote health workforce. It is likely that e‐mental health interventions, such as the AIMhi Stay Strong App will assist services to deliver evidence‐based, structured interventions to improve well‐being for Aboriginal and Torres Strait Islander clients.     

Inferring Learners' Knowledge From Their Actions

Watching another person take actions to complete a goal and making inferences about that person's knowledge is a relatively natural task for people. This ability can be especially important in educational settings, where the inferences can be used for assessment, diagnosing misconceptions, and providing informative feedback. In this paper, we develop a general framework for automatically making such inferences based on observed actions; this framework is particularly relevant for inferring student knowledge in educational games and other interactive virtual environments. Our approach relies on modeling action planning: We formalize the problem as a Markov decision process in which one must choose what actions to take to complete a goal, where choices will be dependent on one's beliefs about how actions affect the environment. We use a variation of inverse reinforcement learning to infer these beliefs. Through two lab experiments, we show that this model can recover people's beliefs in a simple environment, with accuracy comparable to that of human observers. We then demonstrate that the model can be used to provide real‐time feedback and to model data from an existing educational game.