
A combined analysis of genetically correlated traits identifies 187 lo
https://www.nature.com/articles/s41380-017-0001-5
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We examined trends over time in vocabulary, a key component of verbal intelligence, in the nationally representative General Social Survey of U.S. adults (n = 29,912). Participants answered multiple-choice questions about the definitions of 10 specific words. When controlled for educational attainment, the vocabulary of the average U.S. adult declined between the mid-1970s and the 2010s. Vocabulary declined across all levels of educational attainment (less than high school, high school or 2-year college graduate, bachelor's or graduate degree), with the largest declines among those with a bachelor's or graduate degree. Hierarchical linear modeling analyses separating the effects of age, time period, and cohort suggest that the decline is primarily a time period effect. Increasing educational attainment has apparently not improved verbal ability among Americans. Instead, as educational attainment has increased, those at each educational level are less verbally skilled even though the vocabulary skills of the whole population are unchanged.

The structure of executive function (EF), as it pertains to distinct "hot" (affectively salient) and "cool" (affectively neutral) dimensions, in early childhood is not well understood. Given that the neural circuitry underlying EF may become increasingly differentiated with development and enriched experiences, EF may become more dissociable into hot and cool factors with age and advantaged socioeconomic circumstances. We used confirmatory factor analysis (CFA) to compare a multidimensional hot and cool EF model with a unidimensional model in early childhood, and to investigate model invariance across age and maternal education. Participants were 1900 children (2–5 years of age) from socioeconomically diverse families in an urban area in the southern United States. We aggregated data from four previously collected studies that included EF tasks, thus this study includes secondary data analysis. We tested model fit across (1) children older and younger than 4 years of age and (2) higher (college experience) versus lower (no college) maternal education. Results indicated that a two-factor hot and cool EF model provided the best fit to the data across all groups. Although the number of factors was invariant, only partial metric invariance was met for age, suggesting that how certain tests represent EF changes with age. For maternal education, partial scalar invariance was met, with higher maternal education associated with higher scores on certain EF tasks. Findings with this large sample suggest that EF includes two factors characterized as hot and cool. However, the study raises questions about model invariance, particularly across age.

The following points emerge from the present review of strategies to improve the learning of proper names: (a) Face-name mnemonic techniques based on mental imagery have been shown to be efficient in laboratory settings in both young and older adults. Unfortunately, they are particularly effortful and require capacity for imagination, making them difficult to apply in a real conversational context. (b) Strategies based on spaced retrieval practice have been found to be efficient both in laboratory and more ecological settings, and both in young and older adults. (c) Techniques based on spaced retrieval practice appear to be more efficient than those based on mental imagery. (d) More recent research has proposed new perspectives, such as basing learning strategies on implicit, rather than explicit, memory processes such as hyper-binding. Finally, neuroscience research has started to investigate the possibility of using non-invasive electrical brain stimulation to improve name learning. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Behavioral self-regulation supports young children's learning and is a strong predictor of later academic achievement. The capacity to manage one's attention and control one's behavior is commonly measured via direct assessments of executive function (EF). However, to understand how EF skills contribute to academic achievement, it is helpful to investigate how EF manifests in the classroom context and in children's overt behavior. The current study observed 172 kindergarteners for a single school day and captured the total proportion of class time children were off-task in the classroom. This behavior was further classified into specific subtypes to assess whether these categorizations differentially predicted components of EF and academic achievement in first grade. Results indicated that children with lower response inhibition spent statistically significantly more time in one type of off-task behavior (i.e., off-task actively engaging with other materials), and children with lower working memory spent significantly more time in another type of off-task behavior (i.e., off-task passively disengaged). Higher proportion of class time spent off-task passively disengaged in kindergarten further statistically significantly predicted fewer gains in reading comprehension in first grade. These findings illustrate the utility of measuring children's EF in a classroom context, and how fine-grained observation systems can shed light on the specific classroom and child processes that influence learning. (PsycINFO Database Record (c) 2019 APA, all rights reserved)


Courts in England, Wales and Northern Ireland have identified children and adults with intellectual disabilities (ID) as vulnerable witnesses. The call from the English Court of Appeal is for advocates to adjust questioning during cross-examination according to individual needs. This review systematically examined previous empirical studies with the aim of delineating the particular communication needs of children and adults with ID during cross-examination. Studies utilising experimental methodology similar to examination/cross-examination processes, or which assessed the communication of actual cross-examinations in court were included. A range of communication challenges were highlighted, including: suggestibility to leading questions and negative feedback; acquiescence; accuracy; memory and understanding of court language. In addition, a number of influencing factors were identified, including: age; IQ level; question styles used. This review highlights the need for further research using cross-examination methodology and live practice, that take into consideration the impact on communication of the unique environment and situation of the cross-examination process.
Numerous studies have demonstrated that regularly playing action video games (AVGPs) is associated with increased cognitive performance. Individuals who play role-playing video games (RPGs) have usually been excluded from these studies. This is because RPGs traditionally contained no action components and were thus not expected to influence cognitive performance. However, modern RPGs increasingly include numerous action-like components. We therefore examined whether current RPG players (RPGPs) perform similar to action video game players (AVGPs) or nonvideo game players (NVGPs) on two cognitive tasks. Self-identified AVGPs (N = 76), NVGPs (N = 77), and RPGPs (N = 23) completed two online cognitive tasks: A useful field of view (UFOV) task and a multiple-object tracking task (MOT). The UFOV task measures the ability to deploy visuospatial attention over a large field of view while dividing one's attention between a central and a peripheral task. The MOT task measures the ability to use attentional control to dynamically refresh information in working memory. RPGPs performed similar to AVGPs and better than NVGPs on both tasks. However, patterns of covariation (e.g., gender and age) presented obstacles to interpretation in some cases. Our study is the first to demonstrate that RPGPs show similar cognitive performance to AVGPs. These findings suggest that regularly playing modern RPGs may enhance visuospatial abilities. However, because the current study was purely cross-sectional, intervention studies will be needed to assess causation. We discuss the implications of this finding, as well as considerations for how gamers are classified going forward. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
Working memory training has been shown to improve performance on untrained working memory tasks in typically developing children, at least when compared to non‐adaptive training; however, there is little evidence that it improves academic outcomes. The lack of transfer to academic outcomes may be because children are only learning skills and strategies in a very narrow context, which they are unable to apply to other tasks. Metacognitive strategy interventions, which promote metacognitive awareness and teach children general strategies that can be used on a variety of tasks, may be a crucial missing link in this regard. In this double‐blind randomised controlled trial, 95 typically developing children aged 9‐14 years were allocated to three cognitive training programmes that were conducted daily after‐school. One group received Cogmed working memory training, another group received concurrent Cogmed and metacognitive strategy training, and the control group received adaptive visual search training, which better controls for expectancy and motivation than non‐adaptive training. Children were assessed on four working memory tasks, reading comprehension, and mathematical reasoning before, immediately after, and three months after training. Working memory training improved working memory and mathematical reasoning relative to the control group. The improvements in working memory were maintained three months later and these were significantly greater for the group that received metacognitive strategy training, compared to working memory training alone. Working memory training is a potentially effective educational intervention when provided in addition to school; however, future research will need to investigate ways to maintain academic improvements long‐term and to optimise metacognitive strategy training to promote far‐transfer.

This article provides a summary and discussion of major challenges and pitfalls in factor analysis as observed in psychological assessment research, as well as our recommendations within each of these areas. More specifically, we discuss a need to be more careful about item distribution properties in light of their potential impact on model estimation as well as providing a very strong caution against item parceling in the evaluation of psychological test instruments. Moreover, we consider the important issue of estimation, with a particular emphasis on selecting the most appropriate estimator to match the scaling properties of test item indicators. Next, we turn our attention to the issues of model fit and comparison of alternative models with the strong recommendation to allow for theoretical guidance rather than being overly influenced by model fit indices. In addition, since most models in psychological assessment research involve multidimensional items that often do not map neatly onto a priori confirmatory models, we provide recommendations about model respecification. Finally, we end our article with a discussion of alternative forms of model specification that have become particularly popular recently: exploratory structural equation modeling (ESEM) and bifactor modeling. We discuss various important areas of consideration for the applied use of these model specifications, with a conclusion that, whereas ESEM models can offer a useful avenue for the evaluation of internal structure of test items, researchers should be very careful about using bifactor models for this purpose. Instead, we highlight other, more appropriate applications of such models. (PsycINFO Database Record (c) 2019 APA, all rights reserved)

The brain operates via networked activity in separable groups of regions called modules. The quantification of modularity compares the number of connections within and between modules, with high modularity indicating greater segregation, or dense connections within sub-networks and sparse connections between sub-networks. Previous work has demonstrated that baseline brain network modularity predicts executive function outcomes in older adults and patients with traumatic brain injury after cognitive and exercise interventions. In healthy young adults, however, the functional significance of brain modularity in predicting training-related cognitive improvements is not fully understood. Here, we quantified brain network modularity in young adults who underwent cognitive training with casual video games that engaged working memory and reasoning processes. Network modularity assessed at baseline was positively correlated with training-related improvements on untrained tasks. The relationship between baseline modularity and training gain was especially evident in initially lower performing individuals and was not present in a group of control participants that did not show training-related gains. These results suggest that a more modular brain network organization may allow for greater training responsiveness. On a broader scale, these findings suggest that, particularly in low-performing individuals, global network properties can capture aspects of brain function that are important in understanding individual differences in learning.
Spatial skills have been consistently linked to mathematics achievement in older students and adults, but we know little about their relationship to mathematics achievement in elementary school. This study examined how spatial skills influenced the development of number sense, and subsequent mathematics competency, as students progressed from the 2nd to the 4th grade. Gender, verbal working memory (VWM), and socioeconomic status (SES) have also been found to predict number sense development and to be linked to spatial skills; as such, they were included as covariates in this study. Participants were 304 second graders who were assessed at 5 points between 2nd and 4th grade. Two growth mixture models (spatial skills as time-invariant and time-variant covariates) were tested to determine whether different developmental trajectories were needed to explain the development of number sense. Both models revealed the presence of 2 latent classes. The classes differed in their initial level and in their growth rate, with the higher performing class beginning the second grade at an advantage and increasing that advantage over time. SES, VWM, and spatial skills influenced latent class membership and subsequent mathematics competency. SES, spatial skills, and VWM, but not gender, predicted the intercept but differences were found in predictors of the slope of number sense. The impact of number sense changed over time and differed as a function of latent class having an earlier impact on the higher performing class. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
When people ruminate about an unfortunate encounter with a loved one, savor a long-sought accomplishment, or hold in mind feelings from a marvelous or regretfully tragic moment, what mental processes orchestrate these psychological phenomena? Such experiences typify how affect interacts with working memory, which we posit can occur in three primary ways: emotional experiences can modulate working memory, working memory can modulate emotional experiences, and feelings can be the mental representations maintained by working memory. We propose that this last mode constitutes distinct neuropsychological processes that support the integration of particular cognitive and affective processes: affective working memory. Accumulating behavioral and neural evidence suggests that affective working memory processes maintain feelings and are partially separable from their cognitive working memory counterparts. Affective working memory may be important for elucidating the contribution of affect to decision making, preserved emotional processes in later life, and mechanisms of psychological dysfunction in clinical disorders. We review basic behavioral, neuroscience, and clinical research that provides evidence for affective working memory; consider its theoretical implications; and evaluate its functional role within the psychological architecture. In sum, the perspective we advocate is that affective working memory is a fundamental mechanism of mind.
A set of nested basic cognitive abilities underlying creative ideation in divergent thinking was proposed.
A nested cognitive abilities structural model had excellent fit to the data.
Mental speed, broad retrieval ability, and divergent thinking were all measured within the verbal domain.
The proposed model is more effective for prediction of real-life criteria as compared to a classic three-dimensional CFA model.
The used modeling approach allows to disentangle relevant cognitive components in the multipart concept of divergent thinking.
Divergent thinking (DT) ability (i.e., the ability to come up with creative ideas) is a complex cognitive construct that has been associated with several specific components of the Cattel-Horn-Carroll (CHC) model. In this study, we employed a nested latent variable approach to examine the specific role of mental speed (Gs) and general retrieval ability (Gr) in DT ability, which was assessed by DT tasks that instructed to be creative and were scored for creative quality. Specifically, Gs was assumed to facilitate both Gr and DT, and Gr was assumed to contribute to DT. Successive latent variable models with orthogonal factors were tested to reflect these nested cognitive basic abilities. The proposed model of nested factors fit the data well: Latent Gs accounted for variation in Gs, Gr, and DT creative quality scores, latent Gr predicted performance in Gr and DT scores beyond Gs, and latent DT explained variation in DT scores beyond Gs and Gr. In addition, we related the resulting orthogonal latent variables to the external criteria of school grades to illustrate the explanatory power of the modeling approach. This study provides evidence that divergent thinking performance relies on mental speed and retrieval ability, as well as cognitive abilities unique to divergent thinking. We discuss consequences for the understanding of divergent thinking ability in the context of the CHC model.
Children's working memory (WM) skills, which support both academic and social success, continue to improve significantly through the school years. This study leverages the first nationally representative data set with direct assessments of elementary school students' WM skills to examine whether WM grows more during the school year or summer months and whether WM growth rates differ by household income. Results demonstrate that WM skills grow more during the school-year months compared to the summer months, suggesting that school environments provide children with unique opportunities to improve and practice their WM skills. Further, lower-income children have significantly faster WM growth rates in the first 2 years of school and the intervening summer, compared to their peers from higher-income families, leading to an overall narrowing in WM disparities by household income during the early school years. However, there was no evidence that schools equalize or exacerbate differences in WM skills between children from lower-income and higher-income households.
In the present meta-analysis all available evidence regarding the efficacy of different behavioral interventions for children's executive function skills were synthesized. After a systematic search we included experimental studies aiming to enhance children's (up to 12 years of age) executive functioning with neurodevelopmental tests as outcome measures. The results of 100 independent effect sizes in 90 studies including data of 8,925 children confirmed that it is possible to foster these skills in childhood (Diamond & Lee, 2011). We did not find convincing evidence, however, for the benefits to remain on follow-up assessment. Different approaches were effective for typically and nontypically developing samples. For nontypically developing children (including children with neurodevelopmental disorders or behavior problems) acquiring new strategies of self-regulation including biofeedback-enhanced relaxation and strategy teaching programs were the most effective. For typically developing children we found evidence for the moderate beneficial effects of mindfulness practices. Although small to moderate effects of explicit training with tasks loading on executive function skills in the form of computerized and noncomputer training were found, these effects were consistently weaker for nontypically developing children who might actually be more in need of such training. Thus, atypically developing children seem to profit more from acquiring new strategies of self-regulation as compared with practice with executive function tasks. We propose that explicit training does not seem to be meaningful as the approaches that implicitly foster executive functions are similarly or more effective, and these activities are more enjoyable and can be more easily embedded in children's everyday activities. (PsycINFO Database Record (c) 2019 APA, all rights reserved)
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