To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
We need to consider that influences of reading on cognition are not restricted only to knowledge effects obtained from the content of what is read. Reading enhances cognitive skills that are highly relevant and useful for doing well in intelligence tests. There is robust evidence that reading massively trains and consequently improves many different perceptual and cognitive abilities: The science of how reading enhances the human mind reveals the many perks of being a bookworm.
The influence of severity of migraine-like symptoms on different levels of executive functions is not well established. In this study, we investigate the impact of severity of migraine-like symptoms on the relationship between core-level executive functions (attention and memory) and fluid intelligence.
Methods:
A cross-sectional study was conducted on university students (n = 427, age = 20.7 + 1.8 years). Participants completed self-report measures of Migraine Screen Questionnaire (MS-Q), single-item visual analogue scales (VASs) each for the subjective accounts of problems in core-level executive functions (attention and memory), and a single-item VAS for problems in fluid intelligence (PFI), and sociodemographics tool. The mediation effect model was used to determine the relationship.
Results:
The study found a correlation between i) attention problems and severity of migraine-like symptoms (b = 0.109, standard error (SE) = 0.026, p < 0.001), ii) severity of migraine-like symptoms and memory problems (b = 0.318, SE = 0.076, p < 0.001), and iii) severity of migraine-like symptoms – PFI (b = 0.243, SE = 0.083, p < 0.003), with an indirect effect of attention problems on memory problems and PFI and no correlation between severity of migraine-like symptoms and PFI.
Conclusions:
Self-reported accounts of problems in core-level executive functions and fluid intelligence are correlated. Severity of migraine-like symptoms may mediate the inter-relationship between some core-level and higher-level executive functions.
The comprehension of irony involves a sophisticated inferential process requiring language users to go beyond the literal meaning of an utterance. Because of its complex nature, we hypothesized that working memory (WM) and fluid intelligence, the two main components of executive attention, would be involved in the understanding of irony: the former by maintaining focus and relevant information active during processing, the latter by disengaging irrelevant information and offering better problem-solving skills. In this eye-tracking reading experiment, we investigated how adults (N = 57) process verbal irony, based on their executive attention skills. The results indicated a null (or indirect) effect for WM, while fluid intelligence directly modulated the comprehension and processing of irony during reading. As fluid intelligence is an important individual-difference variable, the findings pave the way for future research on developmental and clinical populations who tend to struggle with nonliteral language.
Mind-wandering is defined as a spontaneous shift of attention away from the external environment to inner thoughts. With mind-wandering being a ubiquitous phenomenon, there has been increasing interest in examining the role these spontaneous, and often unintentional, thought processes may have for metrics of cognitive and psychological health. However, much of this literature is mired with inconsistencies, potentially stemming from the use of variegated experimental methods and quantification of mind-wandering through different metrics. For example, mind-wandering has been investigated through endorsement of self-report probes embedded in tasks of sustained attention, with participants asking to endorse whether they were engaging in task-unrelated thoughts or task-related, but evaluative thoughts about the task (task-related interference). Other studies have instead focused on behavioral metrics of task performance, like omission and commission errors, the variability in response time (RTCV), and speeding or slowing prior to errors to quantify mind-wandering. In this study, employing a large sample of older adults, and implementing the novel technique of partial least squares regression, we examined the combined and simultaneous effect of different mind-wandering metrics in explaining variance in fluid cognition and psychological health in older adults.
Participants and Methods:
One hundred and fifty older adults with normal cognition or mild cognitive impairment were administered a Go/No-Go Task (GNG) with embedded mind-wandering probes, the Conners CPT-3, the NIH Toolbox-Cognition Battery, and the WHO Quality of Life Assessment Brief Version at baseline in a clinical trial examining the impact of two mind-body interventions on aging. Based on previous research, the following variables were considered behavioral measures of mind-wandering: quantity of omission and commission errors, RTCV, pre-error speeding, and post-error slowing. Percentage of self-reported task-related interference (i.e. evaluating current performance) and task-unrelated thoughts were included as self-report measures of mind-wandering. These mind-wandering measures, along with demographic variables (age, sex, and education), were regressed using Partial Least Squares Regression to determine the impact of mind-wandering measures on fluid cognition (NIHT-CB) and perceived psychological well-being (WHOQOL-BBREF). Validation tests were completed to assess model fit.
Results:
A single latent factor explained 26% of the variance in fluid cognition (p=0.0001). Higher levels of age, errors of omission on both tasks, and task-related interference were all associated with worse fluid cognition, whereas task-unrelated thoughts were associated with better fluid cognition.
A two-factor latent model explained 12% of the variance in perceived psychological well-being (p=0.0004). Age and task-unrelated thoughts were positively associated with psychological well-being. In contrast, errors of omission on both tasks, response time variability on the CPT, and task-related interference were negatively associated with perceived psychological well-being.
Conclusions:
Mind-wandering is associated with fluid cognition and perceived psychological well-being in older adults. Select behavioral measures were better than self-report measures at linking mind-wandering to fluid cognition and perceived psychological well-being. Interestingly task-unrelated thoughts, but not task-related interference, was positively associated with fluid cognition, supporting the cognitive resource-based account of mind-wandering. The result of our study provides novel insights into differential relationships between various metrics of mind-wandering and cognitive and psychological health.
Chapter 1 aims to correct popular misinformation and summarizes how intelligence is defined and measured for scientific research. Some of the validity data will surprise you. For example, childhood IQ scores predict adult mortality.
This chapter covers five very different ways of assessing people by measuring their behaviour and choices. By far the most sensitive issue is the measurement of intelligence. Whilst the academic literature is very clear: intelligence can be easily and accurately measured and is highly predictive of many aspects of daily life (including work productivity), in the ‘practical world’ of Human Resources people are very cautious about using these tests because of established group differences. The chapter also looks at unobtrusive measures sometimes called snooping, which is concerned with how certain features of our life (office/bedroom layout) give a surprising insight into an individual’s personality and values. The chapter also considers situational judgement tests, which describe or show a typical workplace situation and candidates are required to select the best response. Fourth, the chapter looks at the definition and measurement of creativity, which remains something of a backwater in psychometric research, though selectors rate it very highly. Finally, the chapter looks at gamification, which involves the assessment of people by how they play various electronic games.
Adaptive Intelligence is a dramatic reappraisal and reframing of the concept of human intelligence. In a sweeping analysis, Robert J. Sternberg argues that we are using a fatally-flawed, outdated conception of intelligence; one which may promote technological advancement, but which has also accelerated climate change, pollution, the use of weaponry, and inequality. Instead of focusing on the narrow academic skills measured by standardized tests, societies should teach and assess adaptive intelligence, defined as the use of collective talent in service of the common good. This book describes why the outdated notion of intelligence persists, what adaptive intelligence is, and how it could lead humankind on a more positive path.
The Weigl Colour-Form Sorting Test is a brief, widely used test of executive function. So far, it is unknown whether this test is specific to frontal lobe damage. Our aim was to investigate Weigl performance in patients with focal, unilateral, left or right, frontal, or non-frontal lesions.
Method:
We retrospectively analysed data from patients with focal, unilateral, left or right, frontal (n = 37), or non-frontal (n = 46) lesions who had completed the Weigl. Pass/failure (two correct solutions/less than two correct solutions) and errors were analysed.
Results:
A greater proportion of frontal patients failed the Weigl than non-frontal patients, which was highly significant (p < 0.001). In patients who failed the test, a significantly greater proportion of frontal patients provided the same solution twice. No significant differences in Weigl performance were found between patients with left versus right hemisphere lesions or left versus right frontal lesions. There was no significant correlation between performance on the Weigl and tests tapping fluid intelligence.
Conclusions:
The Weigl is specific to frontal lobe lesions and not underpinned by fluid intelligence. Both pass/failure on this test and error types are informative. Hence, the Weigl is suitable for assessing frontal lobe dysfunction.
This chapter examines the reciprocal relation between intelligence and achievement, particularly within academic domains such as verbal ability and mathematical ability. In particular, the chapter examines the specific knowledge needed for successful performance on tests of verbal ability that focus on decoding or reading comprehension, and tests of mathematical ability that focus on solving arithmetic computation problems or arithmetic word problems.
The concept of expertise is discussed, in the context of fluid and crystallized intelligence. Methods for the study of individual differences in expertise are reviewed, along with the acquisition of open and closed skills. The theoretical and empirical basis for the role of intellectual abilities are considered, along with both deliberate practice and transfer, in the development and maintenance of expertise.
Working memory is a system that allows for the maintenance of goal-relevant information in the face of concurrent processing and/or distraction. Working memory plays a role in many real-world cognitive tasks such as reading, reasoning, planning, and problem-solving. It consists of multiple components, including domain-general mechanisms associated with attention control and domain-specific processes associated with short-term storage. It is also a limited capacity system and working memory capacity is highly correlated with general fluid intelligence. This chapter provides a review of cognitive models of working memory, the measurement of working memory capacity, and evidence linking working memory capacity and intelligence. Several theoretical frameworks, such as executive attention theory and process overlap theory, are also discussed.
This chapter discusses and reviews research on the relationship between two closely aligned concepts: intelligence and reasoning. We begin by defining reasoning in a general sense. Next, we review prominent theories and models of intelligence and reasoning in both the psychometric and cognitive psychological traditions, highlighting how the two constructs are both intertwined yet nonetheless conceptually discriminable. We follow by discussing issues involved in validly measuring reasoning, touching on considerations, concerns, and evidence informed by the cognitive and psychometric perspectives. Then, we review the relationship between reasoning and allied constructs and domains, including expertise, practical outcomes (e.g., educational and workplace achievement), working memory, and critical thinking. We conclude by sketching multiple avenues for future research.
In schizophrenia, relative stability in the magnitude of cognitive deficits across age and illness duration is inconsistent with the evidence of accelerated deterioration in brain regions known to support these functions. These discrepant brain–cognition outcomes may be explained by variability in cognitive reserve (CR), which in neurological disorders has been shown to buffer against brain pathology and minimize its impact on cognitive or clinical indicators of illness.
Methods
Age-related change in fluid reasoning, working memory and frontal brain volume, area and thickness were mapped using regression analysis in 214 individuals with schizophrenia or schizoaffective disorder and 168 healthy controls. In patients, these changes were modelled as a function of CR.
Results
Patients showed exaggerated age-related decline in brain structure, but not fluid reasoning compared to controls. In the patient group, no moderation of age-related brain structural change by CR was evident. However, age-related cognitive change was moderated by CR, such that only patients with low CR showed evidence of exaggerated fluid reasoning decline that paralleled the exaggerated age-related deterioration of underpinning brain structures seen in all patients.
Conclusions
In schizophrenia-spectrum illness, CR may negate ageing effects on fluid reasoning by buffering against pathologically exaggerated structural brain deterioration through some form of compensation. CR may represent an important modifier that could explain inconsistencies in brain structure – cognition outcomes in the extant literature.
This chapter reviews the intellectual history of the study of intelligence. It provides an overview of the field today. Then it reviews the early history of the field, dating back to Sir Francis Galton and then Albert Binet, Charles Spearman, and their successors. It discusses the theory of general intelligence and competitors to the theory such as the sStructure-of-Iintellect model proposed by J. P. Guilford. The chapter also describes in some detail various approaches to testing intelligence. It further describes the work of Jean Piaget, as well as biological and cultural views on intelligence. It then describes the theory of multiple intelligences and the theory of successful intelligence. It further describes the Flynn effect. Then it draws conclusions.
Short-term memory (STM) is required for second language learning. However, it is not clear what components of STM are necessary for the acquisition and lexicalisation of new written words. Studies suggest that memory for serial order is a critical cognitive process in spoken word acquisition although correlated mechanisms such as executive control also play a role. In this study, bilingual Cantonese–English speakers who are learning written expert words in a non-native language were tested over a one year period in their first year of instruction. Written word lexicalisation was measured using lexical decision and spelling to dictation tasks. Results showed measures of executive control (Stroop performance) and serial order memory capacity predict recognition and recall of written expert words at different stages. Whereas serial order memory predicts improvements to lexical decision accuracy, executive control predicts spelling to dictation performance after one year. The conclusion is that STM processes do constrain written word lexicalisation in a second language. However, executive control and serial order memory capacity have differential effects during word lexicalisation.
Several existing theoretical models predict that the individual capacity of working memory and abstract reasoning (fluid intelligence) strongly depends on certain features of neuronal oscillations, especially their cross-frequency coupling. Empirical evidence supporting these predictions is still scarce, but it makes the future studies on oscillatory coupling a promising line of research that can uncover the physiological underpinnings of fluid intelligence. Cross-frequency coupling may serve as the optimal level of description of neurocognitive processes, integrating their genetic, structural, neurochemical, and bioelectrical underlying factors with explanations in terms of cognitive operations driven by neuronal oscillations.
Working memory (WM) performance is often decreased in older adults. Despite the growing popularity of WM trainings, underlying mechanisms are still poorly understood. Resistance to proactive interference (PI) constitutes a candidate process that contributes to WM performance and might influence training or transfer effects. Here, we investigated whether PI resistance can be enhanced in older adults using a WM training with specifically increased PI-demands. Further, we investigated whether potential effects of such a training were stable and entailed any transfer on non-trained tasks.
Method:
Healthy old adults (N = 25, 68.8 ± 5.5 years) trained with a recent-probes and an n-back task daily for two weeks. Two different training regimens (high vs. low PI-amount in the tasks) were applied as between-participants manipulation, to which participants were randomly assigned. Near transfer tasks included interference tasks; far transfer tasks assessed fluid intelligence (gF) or speed. Immediate transfer was assessed directly after training; a follow-up measurement was conducted after two months.
Results:
Both groups similarly improved in PI resistance in both training tasks. Thus, PI susceptibility was generally reduced in the two training groups and there was no difference between WM training with high versus low PI demands. Further, there was no differential near or far transfer on non-trained tasks, neither immediately after the training nor in the follow-up.
Conclusion:
PI-demands in WM training tasks do not seem critical for enhancing WM performance or PI resistance in older adults. Instead, improved resistance to PI appears to be an unspecific side-effect of a WM training.
We recently demonstrated that decline in fluid intelligence is a substantial contributor to frontal deficits. For some classical ‘executive’ tasks, such as the Wisconsin Card Sorting Test (WCST) and Verbal Fluency, frontal deficits were entirely explained by fluid intelligence. However, on a second set of frontal tasks, deficits remained even after statistically controlling for this factor. These tasks included tests of theory of mind and multitasking. As frontal dysfunction is the most frequent cognitive deficit observed in early Parkinson's disease (PD), the present study aimed to determine the role of fluid intelligence in such deficits.
Method
We assessed patients with PD (n=32) and control subjects (n=22) with the aforementioned frontal tests and with a test of fluid intelligence. Group performance was compared and fluid intelligence was introduced as a covariate to determine its role in frontal deficits shown by PD patients.
Results
In line with our previous results, scores on the WCST and Verbal Fluency were closely linked to fluid intelligence. Significant patient–control differences were eliminated or at least substantially reduced once fluid intelligence was introduced as a covariate. However, for tasks of theory of mind and multitasking, deficits remained even after fluid intelligence was statistically controlled.
Conclusions
The present results suggest that clinical assessment of neuropsychological deficits in PD should include tests of fluid intelligence, together with one or more specific tasks that allow for the assessment of residual frontal deficits associated with theory of mind and multitasking.
Baddeley and Hitch proposed a more complex construct, working memory (WM), that could maintain information in a readily accessible state, consistent with the short-term store (STS), but could also engage in concurrent processing, as well as maintain access to more information than the limited capacity STS could purportedly maintain. Delineating the exact characteristics of WM and accounting for variation in working memory capacity (WMC) continues to be an extremely active area of research. Various measures of WMC have been shown to correlate quite strongly with measures of intelligence, accounting for at least half the variance in fluid intelligence (gf). The multi-mechanism view of the relationship between WMC and gf also has implications for research on WM training and for cognitive therapy for the elderly and patients with neural damage or disease. WMC is strongly correlated with gf.
Measures of brain and hippocampal volume in 40 healthy young (aged 18–30 years) and 36 healthy elderly (aged 60–83 years) subjects were compared with composite cognitive function scores in three conceptual domains: memory ability, processing speed, and general fluid intelligence. Through a series of general linear models testing the relationship between these brain measures and cognitive performance scores, a significant positive relationship between hippocampal volume and fluid intelligence ability was found in elderly subjects but not in young. No relationship between the other cognitive domains and brain or hippocampal volume was found. The findings suggest a role of hippocampal atrophy in the decline in fluid intelligence in the elderly. (JINS, 2011, 17, 000–000)