Interference between cues of the same outcome depends on the causal interpretation of the events

In an interference-between-cues design, the expression of a learned Cue A → Outcome 1 association has been shown to be impaired if another cue, B, is separately paired with the same outcome in a second learning phase. In the present study, we assessed whether this interference effect is mediated by participants' previous causal knowledge. This was achieved by having participants learn in a diagnostic situation in Experiment 1a, and then by manipulating the causal order of the learning task in Experiments 1b and 2. If participants use their previous causal knowledge during the learning process, interference should only be observed in the diagnostic situation because only there we have a common cause (Outcome 1) of two disjoint effects, namely cues A and B. Consistent with this prediction, interference between cues was only found in Experiment 1a and in the diagnostic conditions of Experiments 1b and 2.     

The importance of body satisfaction to physical self‐concept and body mass index in Spanish adolescents

This research examines the association between measured body mass index (BMI) and the perception of BMI by young students. Moreover, this research tests the importance of BMI and self‐concept, in order to predict body dissatisfaction in high school students. The sample consisted of 2087 individuals from different high schools in Extremadura, Spain, both males (n = 1046) and females (n = 1041), ranging in age from 15 to 17 years old (M = 15.42; SD = 0.86). Initially, participants' BMIs were assessed through anthropometry. Later, all individuals were asked about their weight and height, and their self‐reported BMI was calculated. Participants also answered a questionnaire about their perception of self‐concept, as well as completed a test about body image perception using Stunkard images. Outcomes revealed that factors concerning self‐concept and perceived BMI explained body dissatisfaction. Finally, results are discussed with the aim of improving knowledge in body dissatisfaction context.     

The longitudinal and bidirectional association between parenting stress and couples' relationship quality

This study examined the longitudinal and bidirectional association between parenting stress and relationship quality, and whether the associations differed between married and cohabiting couples, using cross‐lagged panel models (CLPM) and random‐intercept cross‐lagged panel models (RI‐CLPM). Using data from the Fragile Families and Child Well‐being Study, the findings indicated that the RI‐CLPM model provided a better fit to the data compared to the CLPM model for mothers and fathers. The RI‐CLPM results showed high levels of stability in parenting stress and relationship quality over time, that parenting stress was associated with higher levels of relationship quality for both parents, and that the between‐person effect was similar for married and cohabiting couples. This study highlighted the importance of accounting for between‐ and within‐person variability.     

Managing dyspraxia: Pre-school teachers’ perceptions,experiences and strategies

Dyspraxia is a childhood developmental disorder that manifests as a difficulty in thinking, planning, and executing planned movements or tasks. Dyspraxia affects approximately 5–6% of school-aged children. This study aimed to explore pre-school teachers’ awareness and understanding of dyspraxia, and the support they desire for teaching children with dyspraxia. Informants were 15 pre-school teachers from the Cape Peninsula, South Africa (black = 1; coloured/mixed race = 13; white = 1). The teachers completed semi-structured interviews regarding their awareness and knowledge of dyspraxia and the support they require to better facilitate the learners’ development. A thematic analysis of the data suggested that the teachers were aware of the behavioural and cognitive difficulties associated with dyspraxia and that they need to seek professional development to enhance their management of children with dyspraxia. Early intervention strategies, in partnership with the parent carers of the children, appear to hold good prospects for the successful management of dyspraxia among school-aged children.     

Psychometric Properties and Measurement Invariance of the Youth Psychopathic Traits Inventory - Short Version among Portuguese Youth

This study aimed to examine the psychometric properties of the Youth Psychopathic Traits Inventory - Short version (YPI-S) among a mixed-gender sample of 782 Portuguese youth (M = 15.87 years; SD = 1.72) collected in a school context. Exploratory and confirmatory factor analysis offered support for the expected 3-factor structure. Partial cross-gender measurement invariance and cross-sample measurement invariance of the YPI-S using a forensic sample of institutionalized males was established. The Portuguese version of the YPI-S showed adequate psychometric properties in terms of internal consistency, mean inter-item correlation, corrected item-total correlation, convergent validity, and discriminant validity. In support for criterion-related validity, the YPI-S also showed statistically significant associations with self-reported conduct disorder symptoms, alcohol abuse, and drug use. In terms of known-groups validity, males from the school sample scored lower than males from the forensic sample and higher than females from the school sample. The YPI-S seems to be a valuable brief and psychometrically reliable and valid self-report measure, which can be used to assess psychopathic traits in diverse samples of youth.     

Evaluating Amazon’s Mechanical Turk for psychological research on the symbolic control of attention

The use of online crowdsourcing services like Amazon’s Mechanical Turk (AMT) as a method of collecting behavioral data online has become increasingly popular in recent years. A growing body of contemporary research has empirically validated the use of AMT as a tool in psychological research by replicating a wide range of well-established effects that have been previously reported in controlled laboratory studies. However, the potential for AMT to be used to conduct spatial cuing experiments has yet to be investigated in depth. Spatial cuing tasks are typically very basic in terms of their stimulus complexity and experimental testing procedures, thus making them ideal for remote testing online that requires minimal task instruction. Studies employing the spatial cuing paradigm are typically aimed at unveiling novel facets of the symbolic control of attention, which occurs whenever observers orient their attention through space in accordance with the meaning of a spatial cue. Ultimately, the present study empirically validated the use of AMT to study the symbolic control of attention by successfully replicating four hallmark effects reported throughout the visual attention literature: the left/right advantage, cue type effect, cued axis effect, and cued endpoint effect. Various recommendations for future endeavors using AMT as a means of remotely collecting behavioral data online are also provided. In sum, the present study provides a crucial first step toward establishing a novel tool for conducting psychological research that can be used to expedite not only our own scientific contributions, but also those of our colleagues.     

Interference between cues requires a causal scenario: Favorable evidence for causal reasoning models in learning processes

In an interference-between-cues design (IbC), the expression of a learned Cue A–Outcome 1 association has been shown to be impaired if another cue, B, is separately paired with the same outcome in a second learning phase. The present study examined whether IbC could be caused by associative mechanisms independent of causal reasoning processes. This was achieved by testing participants in two different learning situations. In the Causal Scenario condition, participants learned in a diagnostic situation in which a common cause (Outcome 1) caused two disjoint effects, namely Cues A and B. In the Non-Causal Scenario condition, the same IbC design and stimulus conditions were used. However, instructions provided no causal frame to make sense of how cues and outcomes were related. IbC was only found in the Causal Scenario condition. This result is consistent with Causal Reasoning Models of causal learning and raises important difficulties for associative explanations of IbC.     

Effects of anisomycin on inhibitory avoidance in male and female CD1 mice

The antibiotic anisomycin inhibits protein synthesis, which much research has suggested is required for the formation of long-term memory. The present work studied the effects of acute subcutaneous administration of anisomycin on the consolidation of memory in an inhibitory avoidance task in CD1 mice of both sexes. The animals were separated by sex and randomly distributed into three groups: two groups were injected with 150 mg/kg anisomycin, one immediately after the training phase and the other 24 h later, while the control group received saline. The interval between training and test was four days. Anisomycin administrated immediately after training produced statistically significant impairment of memory, which was not observed when the drug was administered 24 h after training. No sex differences were observed in the effects of anisomycin. These results extend to female mice the memory impairing effects of anisomycin previously observed in males and endorse the hypothesis that the establishment of long-term memory depends on protein synthesis shortly after training.     

What is behind a summary-evaluation decision?

Research in psychology has reported that, among the variety of possibilities for assessment methodologies, summary evaluation offers a particularly adequate context for inferring text comprehension and topic understanding. However, grades obtained in this methodology are hard to quantify objectively. Therefore, we carried out an empirical study to analyze the decisions underlying human summary-grading behavior. The task consisted of expert evaluation of summaries produced in critically relevant contexts of summarization development, and the resulting data were modeled by means of Bayesian networks using an application called Elvira, which allows for graphically observing the predictive power (if any) of the resultant variables. Thus, in this article, we analyzed summary-evaluation decision making in a computational framework.