Sensitivity of a linear composite of predictor items to differential item weighting

Many authors have demonstrated for idealized item configurations that equal item weights are often virtually as good for a particular predictive purpose as the item weights that are theoretically optimal. What has not been heretofore clear, however, is what happens to the similarity between weighted and unweighted composites of the same items when the item configuration's variance structure is complex.     

Stimulation cognitive chez les personnes âgées : effets d’une méthode de stimulation cognitive par les jeux sur les fonctions cognitives et l’estime de soi

The purpose of this study was to examine the effects of a cognitive stimulation program with games on scores to cognitive tests (processing speed, mental flexibility, working memory, inhibition) and how this program can benefit to a psycho-affective measure, self-esteem in older adults. Forty-eight participants over 60 years old took part in the experiment. They were divided into two groups: 1 group followed a program of cognitive stimulation using leisure activities with games and 1 control group in which people gathered every week. There were 8 sessions of cognitive stimulation using leisure activities like games, one-hour session a week. Measures have focused on speed of processing and executive functions (shifting, updating and inhibition). They have been evaluated before and after the training program. Results show that the cognitive stimulation program using leisure activities with games is effective on speed of processing, memory span, inhibition and self-esteem but shows no benefits on shifting and updating. These results indicate that it seems to be possible to enhance cognitive resources, inhibition and self-esteem using leisure activities with games as a tool for cognitive stimulation.     

The impact of demographics and nutritional status on cognitive functioning in an Iranian adults sample

This study investigated the impact of demographic variables and nutritional status on adult cognitive functioning using structural equation modeling. Demographic variables that were considered were height, weight and gender, whilst nutritional status was measured on the Nutrition Assessment Inventory (NAI). Cognitive functions, such as executive cognitive functions, cognitive flexibility, cognitive ability and cognitive vulnerability were measured using the Amsterdam Executive Function Inventory (AEFI), the Cognitive Flexibility Scale (CFS), the Cognitive Ability Questionnaire (CAQ), and the Dysfunctional Attitude Scale Form A-Revised (DAS-A-R) respectively. Findings indicated that ethnicity and weight variables contribute to 8.8% of the nutritional status variations observed. A SEM analysis showed that nutritional status has an impact on 13% on the measured cognitive abilities of adults. The effects of “healthy nutrition”, “use of complementary nutritients”, “coping with high fat foods”, and “high fat food assumption” subscales of the nutrition scale were found to play a role in cognitive ability. This study shows a fitted SEM for the predictive roles of ethnicity, weight and nutritional status on the cognitive ability in adults.     

A coordinated analysis of the associations among personality traits,cognitive decline,and dementia in older adulthood

There are individual differences in the rates of cognitive decline across later adulthood. Personality traits are among the factors that may account for these differences. The current project investigated whether personality traits were associated with trajectories of cognitive decline, and whether the associations were different before and after dementia diagnosis. The data was analyzed using linear mixed effects regression. Across study aims is a focus on replicability and generalizability. Each question was addressed in four independent longitudinal studies (EAS, MAP, ROS, SATSA), then meta-analyzed, providing estimates of replicability. Results indicated that low neuroticism and high openness were associated with total cognitive function. We detected evidence for cognitive decline in all four samples, and openness was associated with decline post dementia diagnosis.     

Tapping into the interplay of lexical and number knowledge using fast mapping: A longitudinal eye-tracking study with two-year-olds

Language skills and mathematical competencies are argued to influence each other during development. While a relation between the development of vocabulary size and mathematical skills is already documented in the literature, this study further examines how children’s ability to map a novel word to an unknown object as well as their ability to retain this word from memory may be related to their knowledge of number words. Twenty-five children were tested longitudinally (at 30 and at 36 months of age) using an eye-tracking-based fast mapping task, the Give-a-Number task, and standardized measures of vocabulary. The results reveal that children’s ability to create and retain a mental representation of a novel word was related to number knowledge at 30 months, but not at 36 months while vocabulary size correlated with number knowledge only at 36 months. These results show that even specific mapping processes are initially related to the acquisition of number words and they speak for a parallelism between the development of lexical and number-concept knowledge despite their semantic and syntactic differences.     

Socially Situated Transmission: The Bias to Transmit Negative Information is Moderated by the Social Context

Cultural evolutionary theory has identified a range of cognitive biases that guide human social learning. Naturalistic and experimental studies indicate transmission biases favoring negative and positive information. To address these conflicting findings, the present study takes a socially situated view of information transmission, which predicts that bias expression will depend on the social context. We report a large-scale experiment (N = 425) that manipulated the social context and examined its effect on the transmission of the positive and negative information contained in a narrative text. In each social context, information was progressively lost as it was transmitted from person to person, but negative information survived better than positive information, supporting a negative transmission bias. Importantly, the negative transmission bias was moderated by the social context: Higher social connectivity weakened the bias to transmit negative information, supporting a socially situated account of information transmission. Our findings indicate that our evolved cognitive preferences can be moderated by our social goals.     

Dynamics Versus Development in Numerosity Estimation: A Computational Model Accurately Predicts a Developmental Reversal

Perceptual judgments result from a dynamic process, but little is known about the dynamics of number-line estimation. A recent study proposed a computational model that combined a model of trial-to-trial changes with a model for the internal scaling of discrete numbers. Here, we tested a surprising prediction of the model—a situation in which children's estimates of numerosity would be better than those of adults. Consistent with the model simulations, task contexts led to a clear developmental reversal: children made more adult-like, linear estimates when to-be-estimated numbers were descending over trials (i.e., backward condition), whereas adults became more like children with logarithmic estimates when numbers were ascending (i.e., forward condition). In addition, adults’ estimates were subject to inter-trial differences regardless of stimulus order. In contrast, children were not able to use the trial-to-trial dynamics unless stimuli varied systematically, indicating the limited cognitive capacity for dynamic updates. Together, the model adequately predicts both developmental and trial-to-trial changes in number-line tasks.     

Computational models of the “active self” and its disturbances in schizophrenia

The notion that self-disorders are at the root of the emergence of schizophrenia rather than a symptom of the disease, is getting more traction in the cognitive sciences. This is in line with philosophical approaches that consider an enactive self, constituted through action and interaction with the environment. We thereby analyze different definitions of the self and evaluate various computational theories lending to these ideas. Bayesian and predictive processing are promising approaches for computational modeling of the “active self”. We evaluate their implementation and challenges in computational psychiatry and cognitive developmental robotics. We describe how and why embodied robotic systems provide a valuable tool in psychiatry to assess, validate, and simulate mechanisms of self-disorders. Specifically, mechanisms involving sensorimotor learning, prediction, and self-other distinction, can be assessed with artificial agents. This link can provide essential insights to the formation of the self and new avenues in the treatment of psychiatric disorders.     

The effectiveness of cognitive behavioral group intervention on depression and anxiety in patients with type II diabetes

IntroductionDepression and anxiety are important risk factors for diabetes and high blood pressure.ObjectiveThis study investigated the effectiveness of the Cognitive-Behavioral Group Intervention for Diabetes Disease (CBGI-DD) in reducing depression and anxiety in female patients with type 2 diabetes (T2D).MethodThe CBGI-DD program includes 12 weekly 2.5 h sessions, spread weekly over the course of 3 months. The present study was semi-experimental and controlled, with assessments at pre-test and post-test. It included diagnostic criteria for the diagnosis of T2D in the patient's medical records by a diabetes specialist. Participants (62 female volunteers aged 25 to 75 years) were randomly allocated to a control or test group. Both groups responded to the Second edition of the Beck Depression Inventory (BDI-II) and the Beck Anxiety Inventory (BAI) before (pretest) and immediately after the intervention (posttest). Participants in the test group received CBGI-DD (from April up to the end of September 2018) at Mashhad Diabetes Center. The control group received only medical care during this period.ResultsAn analysis of covariance showed that compared to the control group, the test group had a significant reduction in anxiety and depression from pre-test to post-test (p < 0.05). It was compared post-test scores between the two groups, controlling for pre-test scores.ConclusionThe CBGI-DD program seems to be effective in reducing anxiety and depression in female patients with T2D. However, further research exploring the potential for long-term improvements in depression and anxiety is needed.     

An empirical investigation into carpooling behaviour for sustainability

Carpooling is a sustainable, economical, and environmental friendly solution that can significantly reduce air pollution and traffic congestion in urban areas. In spite of its numerous benefits, commuters are still skeptic about adopting it as a routine choice for transportation. This study attempts to map commuters’ attitude towards carpooling services. The study has focused on a few motivational constructs that can have an influence on commuters’ behavior. The study has looked at the role of cognitive complexity and empowerment perceptions of commuters to check if these constructs significantly intervene in the behavioral outcomes. The methodology used is a scenario-based 2 × 2 survey design where the sample is an individual who has experience with carpooling. The survey has used two levels (high, low) each of cognitive complexity and psychological empowerment to give rise to four scenarios. The final sample consisted of 400 carpoolers selected from an IT park having more than 5000 employees. MANOVA analysis showed that cognitive complexity and psychological empowerment had significant influence on the motivational constructs used in the study. Value beliefs, safety and platform quality perceptions were found to have a direct impact on attitude formation and intention to engage in carpooling behavior. The findings offer many implications for managers in the sense that that they can focus on creating suitable communication that creates favorable perceptions towards carpooling to bring about better adoption intentions.