On Cognitive Abilities and Motivational Processes in Students' Science Engagement and Achievement: A Multidimensional Approach to Achievement Validation

2002 ◽  
Author(s):  
Shun Lau ◽  
Robert W. Roeser ◽  
Haggai Kupermintz
Keyword(s):  
Cognitive Abilities ◽  
Multidimensional Approach ◽  
Science Engagement

Refining our understanding of the “elephant in the room”

2020 ◽  
Vol 43 ◽  
Author(s):  
Andrew Whiten
Keyword(s):  
Social Cognition ◽  
Cultural Evolution ◽  
Cognitive Abilities ◽  
Critical Factors ◽  
Technological Culture

Abstract The authors do the field of cultural evolution a service by exploring the role of non-social cognition in human cumulative technological culture, truly neglected in comparison with socio-cognitive abilities frequently assumed to be the primary drivers. Some specifics of their delineation of the critical factors are problematic, however. I highlight recent chimpanzee–human comparative findings that should help refine such analyses.

Psychosocial Risks and Management for Children and Adolescents With 22q11.2 Deletion Syndrome

2019 ◽  
Vol 4 (4) ◽  
pp. 633-640 ◽  
Author(s):  
Canice E. Crerand ◽  
Ari N. Rabkin
Keyword(s):  
Cognitive Abilities ◽  
Psychotic Disorders ◽  
Developmental Stages ◽  
Early Adulthood ◽  
22Q11.2 Deletion Syndrome ◽  
Deletion Syndrome ◽  
22Q11.2 Deletion ◽  
Psychosocial Risks ◽  
Empirically Supported ◽  
Specific Education

Purpose This article reviews the psychosocial risks associated with 22q11.2 deletion syndrome, a relatively common genetic condition associated with a range of physical and psychiatric problems. Risks associated with developmental stages from infancy through adolescence and early adulthood are described, including developmental, learning, and intellectual disabilities as well as psychiatric disorders including anxiety, mood, and psychotic disorders. Other risks related to coping with health problems and related treatments are also detailed for both affected individuals and their families. Conclusion The article ends with strategies for addressing psychosocial risks including provision of condition-specific education, enhancement of social support, routine assessment of cognitive abilities, regular mental health screening, and referrals for empirically supported psychiatric and psychological treatments.

A Case Study: Unique Challenges of an Adolescent Female With Autism Spectrum Disorder

2020 ◽  
Vol 5 (1) ◽  
pp. 314-325
Author(s):  
Kimberly F. Frazier ◽  
Jessica Collier ◽  
Rachel Glade
Keyword(s):  
Autism Spectrum Disorder ◽  
Cognitive Abilities ◽  
Social Cognitive ◽  
Social Performance ◽  
Management Strategies ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Self Management ◽  
Adolescent Female ◽  
Social Thinking

Background The aim of this study was to determine the clinical efficacy of combining self-management strategies and a social thinking approach to address the social performance and executive function of an adolescent female with autism spectrum disorder. Method This research examined the effects of a social knowledge training program, “Think Social,” as well as strategies to improve higher order cognitive abilities. Results and Conclusion Although quantitative improvement was not found, several qualitative gains in behavior were noted for the participants of this study, suggesting a benefit from using structured environmental cues of self-management strategies, as well as improved social understanding through social cognitive training.

Clinical Decision-Making for Stroke and Aphasia in the Older Adult

2009 ◽  
Vol 14 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Jacqueline Hinckley
Keyword(s):  
Executive Function ◽  
Cerebrovascular Disease ◽  
Cognitive Abilities ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Cognitive Profile ◽  
Focal Lesion ◽  
Cognitive Profiles ◽  
Supportive Communication ◽  
Spaced Retrieval

Abstract A patient with aphasia that is uncomplicated by other cognitive abilities will usually show a primary impairment of language. The frequency of additional cognitive impairments associated with cerebrovascular disease, multiple (silent or diagnosed) infarcts, or dementia increases with age and can complicate a single focal lesion that produces aphasia. The typical cognitive profiles of vascular dementia or dementia due to cerebrovascular disease may differ from the cognitive profile of patients with Alzheimer's dementia. In order to complete effective treatment selection, clinicians must know the cognitive profile of the patient and choose treatments accordingly. When attention, memory, and executive function are relatively preserved, strategy-based and conversation-based interventions provide the best choices to target personally relevant communication abilities. Examples of treatments in this category include PACE and Response Elaboration Training. When patients with aphasia have co-occurring episodic memory or executive function impairments, treatments that rely less on these abilities should be selected. Examples of treatments that fit these selection criteria include spaced retrieval and errorless learning. Finally, training caregivers in the use of supportive communication strategies is helpful to patients with aphasia, with or without additional cognitive complications.

The Developing Relationship Among Cognition, Amplification, and Aural Rehabilitation

2016 ◽  
Vol 1 (6) ◽  
pp. 47-54 ◽  
Author(s):  
Jeffrey J. DiGiovanni ◽  
Travis L. Riffle
Keyword(s):  
Working Memory ◽  
Best Practices ◽  
Cognitive Abilities ◽  
Hearing Aid ◽  
Hearing Aid Fitting ◽  
Aural Rehabilitation ◽  
Basic Concepts ◽  
And Function

The search for best practices in hearing aid fittings and aural rehabilitation has generally used the audiogram and function stemming from peripheral sensitivity. In recent years, however, we have learned that individuals respond differently to various hearing aid and aural rehabilitation techniques based on cognitive abilities. In this paper, we review basic concepts of working memory and the literature driving our knowledge in newer concepts of hearing aid fitting and aural rehabilitation.

Barriers to Physical Activity in Adolescents

2015 ◽  
Vol 23 (2) ◽  
pp. 47-59 ◽  
Author(s):  
Nadine Langguth ◽  
Tanja Könen ◽  
Simone Matulis ◽  
Regina Steil ◽  
Caterina Gawrilow ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Activities ◽  
Outcome Expectations ◽  
Multidimensional Approach ◽  
Factor Analyses ◽  
Physical And Mental Health ◽  
Tailored Interventions ◽  
Long Term Consequences ◽  
Age Range

During adolescence, physical activity (PA) decreases with potentially serious, long-term consequences for physical and mental health. Although barriers have been identified as an important PA correlate in adults, research on adolescents’ PA barriers is lacking. Thus reliable, valid scales to measure adolescents’ PA barriers are needed. We present two studies describing a broad range of PA barriers relevant to adolescents with a multidimensional approach. In Study 1, 124 adolescents (age range = 12 – 24 years) reported their most important PA barriers. Two independent coders categorized those barriers. The most frequent PA barriers were incorporated in a multidimensional questionnaire. In Study 2, 598 adolescents (age range = 13 – 21 years) completed this questionnaire and reported their current PA, intention, self-efficacy, and negative outcome expectations. Seven PA barrier dimensions (leisure activities, lack of motivation, screen-based sedentary behavior, depressed mood, physical health, school workload, and preconditions) were confirmed in factor analyses. A multidimensional approach to measuring PA barriers in adolescents is reliable and valid. The current studies provide the basis for developing individually tailored interventions to increase PA in adolescents.

Cognitive Aging in a Precision Sport Context

1996 ◽  
Vol 1 (3) ◽  
pp. 166-179 ◽  
Author(s):  
Bo Molander ◽  
Lars Bäckman
Keyword(s):  
Older Adult ◽  
Cognitive Abilities ◽  
Cognitive Aging ◽  
Motor Performance ◽  
Intervention Programs ◽  
Laboratory Studies ◽  
High Arousal ◽  
Memory And Attention ◽  
Age Related ◽  
Principal Finding

Highly skilled miniature golf players were examined in a series of field and laboratory studies. The principal finding from these studies is that young and young adult players (range = 15-38 years) score equally well or better in competition than in training whereas older adult players (range = 46-73 years) perform worse in competitive events than under training conditions. It was also found that the impairment in motor performance on the part of the older players is associated with age-related deficits in basic cognitive abilities, such as memory and attention. These results support the hypothesis that older players may be able to compensate for age-related deficits under relaxed conditions, but not under conditions of high arousal. The possibility of improving the performance of the older players in stressful situations by means of various intervention programs is discussed.

Reliability of MTurk Data From Masters and Workers

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse
Keyword(s):  
Cognitive Abilities ◽  
Online Survey ◽  
Quality Data ◽  
Standard Samples ◽  
Online Data ◽  
Approval Ratings ◽  
Cognitive Abilities Test ◽  
Elite Status ◽  
Master Status ◽  
Amazon's Mechanical Turk

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.

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