Validated tests for language research with university students: Tests of vocabulary, general knowledge, author recognition, reading comprehension, reading frequency, attention check

We present five studies aimed at developing a new vocabulary test for university students. Such a test isuseful as an indication of crystallized intelligence and because vocabulary size correlates well withreading comprehension. In the first study, a list of 100 words based on Nation’s Vocabulary Size Test waspresented to 195 participants and compared to other tests of crystallized intelligence. Analysis suggestedthe presence of two distinct factors, which we interpreted as evidence for the possible existence of twotypes of difficult words: Unfamiliar words for general knowledge and unfamiliar words for specializedknowledge. In the subsequent studies we tried to develop vocabulary tests for each type of words, at thesame time trying out various reading comprehension tests to use as validation criterion. However, in thefinal study a high correlation (r =.82) was found between our two vocabulary tests, indicating that theymeasure the same latent factor, contrary to our initial assumption. Both tests have high reliability (r >.85) and correlate well (r > .4) with general knowledge, author recognition, and reading comprehension.As part of our research efforts, a collection of new and existing tests was used and (often) improved toverify the validity of the vocabulary tests. An exploratory factor analysis on all tests established 3 factors(text comprehension, crystallized intelligence, and reading rate), with the vocabulary tests loading on thefactor of crystallized intelligence, which in turn correlated with reading comprehension. Structuralequation modeling corroborated the interpretation. We end by providing an overview of the differenttests that were developed or improved throughout the studies. They are freely available for researchpurposes at https://osf.io/ef3s4/.

Switching up How You Get in Your Steps: Daily Activity Diversity and Cognitive Functioning

Active lifestyles are related to better cognitive health. More work is needed, however, to examine whether participating in a variety of daily activities (i.e., activity diversity) has unique importance beyond amount of activity. The current study examined associations between daily activity diversity and cognitive functioning among community-dwelling older adults (N = 313, ages 65-90). Participants completed a cognitive battery, then responded to ecological momentary assessments of their participation in 10 common activity types (e.g., exercise, chores, social visits, volunteering) every 3 hours for 5-6 days, and wore accelerometers to track daily step counts and duration of activity. Multiple regression models revealed that greater daily activity diversity related to higher overall cognitive functioning, executive functioning, memory, and crystallized intelligence. These associations remained significant after adjusting for step count and duration of activity. Findings suggest daily activity diversity has unique importance beyond sheer amount of activity for cognitive health in later adulthood.

Exploring Neural Signal Complexity as a Potential Link between Creative Thinking, Intelligence, and Cognitive Control

Functional connectivity studies have demonstrated that creative thinking builds upon an interplay of multiple neural networks involving the cognitive control system. Theoretically, cognitive control has generally been discussed as the common basis underlying the positive relationship between creative thinking and intelligence. However, the literature still lacks a detailed investigation of the association patterns between cognitive control, the factors of creative thinking as measured by divergent thinking (DT) tasks, i.e., fluency and originality, and intelligence, both fluid and crystallized. In the present study, we explored these relationships at the behavioral and the neural level, based on N = 77 young adults. We focused on brain-signal complexity (BSC), parameterized by multi-scale entropy (MSE), as measured during a verbal DT and a cognitive control task. We demonstrated that MSE is a sensitive neural indicator of originality as well as inhibition. Then, we explore the relationships between MSE and factor scores indicating DT and intelligence. In a series of across-scalp analyses, we show that the overall MSE measured during a DT task, as well as MSE measured in cognitive control states, are associated with fluency and originality at specific scalp locations, but not with fluid and crystallized intelligence. The present explorative study broadens our understanding of the relationship between creative thinking, intelligence, and cognitive control from the perspective of BSC and has the potential to inspire future BSC-related theories of creative thinking.

Two Sides of the Same Coin: Fluid Intelligence and Crystallized Intelligence as Cognitive Reserve Predictors of Social Cognition and Executive Functions Among Vulnerable Elderly People

The concept of cognitive reserve –CR– postulates two forms that prevent cognitive impairment: neural reserve and neural compensation. Both have been primarily linked to the protective role played by genetic factors, educational level, occupation or socioeconomic status. Though it is true that it has been related to executive functions, so far very little attention has been paid to its predictive capacity with other variables more related to social cognition and psychosocial adaptation. Considering socially vulnerable contexts with reduced cultural capital and educational levels, the neural reserve function would be the most relevant and best predictor of aspects related to social cognition and executive functions. We suggest that variables such as fluid and crystallized intelligence influence social cognition and executive functions. This study included a sample of 27 participants over 60 years old from varied contexts of social vulnerability. The procedure included data collection using various cognitive measures. Results show that elderly people with high intelligence—mainly fluid intelligence—have better executive functions, emotional recognition and theory of mind. These results focus on cognitive reserve and its importance because they show that elderly people in vulnerable contexts who strengthen these aspects protect themselves against the deterioration of cognitive skills. This study is the first preliminary research to present a relationship between cognitive reserve and social cognition factors in elderly subjects. Fluid intelligence functions as a highly related factor to protect the performance of executive functions, along with other social-cognitive factors relevant to facilitating the conditions of social adaptation.

The Nomological Net of Knowledge, Self-Reported Knowledge, and Overclaiming in Children

Research on self-reported knowledge and overclaiming in children is sparse. With the current study, we aim to close this gap by developing an overclaiming questionnaire measuring self-reported knowledge and overclaiming that is tailored to children. Moreover, we examine the nomological net of self-reported knowledge and overclaiming in childhood discussing three perspectives: Overclaiming as a) a result of deliberate self-enhancement tendencies, b) a proxy for declarative knowledge, and c) an indicator of creative engagement. We juxtaposed overclaiming, as indicated by claiming familiarity with non-existent terms, and self-reported knowledge with fluid and crystallized intelligence, creativity, and personality traits in a sample of 897 children attending third grade. The results of several latent variable analyses were similar to findings known from adult samples: We found no strong evidence for any of the competing perspectives on overclaiming. Just like in adults, individual differences in self-reported knowledge were strongly inflated by overclaiming, and only weakly related to declarative knowledge.

Quest for I (Intelligence) in AI (Artificial Intelligence): A Non-Elusive Attempt

This chapter essentially makes a non-elusive attempt in quest of ‘I’ (Intelligence) in ‘AI’ (Artificial Intelligence). In the year 1950, Alan Turing proposed “the imitation game” which was a gaming problem to make a very fundamental question — “can a machine think?”. The said article of Turing did not provide any tool to measure intelligence but produced a philosophical argument on the issue of intelligence. In 1950, Claude Shannon published a landmark paper on computer chess and rang the bell of the computer era. Over the past decades, there have been huge attempts to define and measure intelligence across the fields of cognitive psychology and AI. We critically appreciate these definitions and evaluation approaches in quest of intelligence, which can mimic the cognitive abilities of human intelligence. We arrive at the Cattell-Horn-Carroll (C–H–C) concept, which is a three-stratum theory for intelligence. The C–H–C theory of intelligence can be crudely approximated by deep meta-learning approach to integrate the representation power of deep learning into meta-learning. Thus we can combine crystallized intelligence with fluid intelligence, as they complement each other for robust learning, reasoning, and problem-solving in a generalized setup which can be a benchmark for flexible AI and eventually general AI. In far-reaching future to search for human-like intelligence in general AI, we may explore neuromorphic computing which is essentially based on biological neurons.

The predictors of general knowledge: Data from a Spanish megastudy

Studies on sociodemographic data and crystallized intelligence have often struggled to recruit enough participants to achieve sufficient validity. However, the advent of the internet now allows this problem to be solved through the creation of megastudies. Yet, this methodology so far has only been used in studies on vocabulary size, while general knowledge, another key component of crystallized intelligence, remains unexamined. In the present study, regression models were used to examine the impact of sociodemographic variables—gender, age, years of study and socioeconomic status—on general knowledge scores. The sample comprised 48,234 participants, each of whom answered 60 general knowledge questions, their data being fully available online. Men were found to score higher than women in general knowledge. Years of study and socioeconomic status acted as strong and weak positive predictors, respectively. Age acted as a strong positive predictor until the age of 50, where it became progressively detrimental. These results are discussed relative to other studies on crystallized intelligence, highlighting the need to study each of its components individually.

Are We Measuring Theory of Mind Correctly? A Psychometric Study of Theory of Mind and Intelligence

Theory of mind (ToM) is an essential ability for social competence and communication, and it is necessary for understanding behaviors that differ from our own (Premack and Woodruff, 1978). However, recent research suggests that tasks designed to measure the ToM construct might not be as reliable or valid as previously thought (Warnell & Redcay, 2019). This hinders the interpretation of experimental and correlational findings and puts into question the validity of the ToM construct. The study examines the structure of ToM, crystallized intelligence (Gc), and fluid intelligence (Gf) to understand (a) whether ToM constitutes a construct separate from other cognitive abilities and (b) to explore whether tasks of ToM present adequate construct validity. For this, three confirmatory factor analyses (CFAs) were conducted. The results demonstrated that a model with three latent factors (ToM, Gf and Gc) did not adequately fit the data and was not significantly different from a model with only two latent factors (ToM-Gf and Gc). In addition, an exploratory factor analysis (EFA) showed that two of the ToM tasks loaded onto a Gf factor whereas one of the tasks loaded onto a third factor by itself. Finally, an exploratory network analysis (NMA) was conducted to observe relationships among the tasks. The results showed that the ToM tasks were no more related to each other than to some tasks of Gf and Gc, and that ToM tasks did not form a consistent cluster. Overall, the results suggest that ToM tasks are likely not measuring a monolithic ToM construct.

Training Working Memory for Two Years – No Evidence of Latent Transfer to Intelligence

Working memory (WM) training has been proposed as a promising intervention to enhance cognitive abilities, but convincing evidence for transfer to untrained abilities is lacking. Prevalent limitations of WM training studies include the narrow assessment of both WM and cognitive abilities, the analysis of manifest variables subject to measurement error, and training dosages too low to likely cause changes in the cognitive system. To address these limitations, we conducted a two-year longitudinal study to investigate the effects of working memory training on latent factors of working memory capacity, fluid intelligence and crystallized intelligence. 112 students initially attending 9th grade practiced a heterogenous set of validated WM tasks on a bi-weekly basis. A control group of 113 students initially attending 9th grade participated in the pretest and posttest. Broad and prototypical measures of fluid and crystallized intelligence served as measures of nearer and farer transfer. We found substantial and reliable training effects on the practiced WM tasks, as well as on a latent WM factor constituted by them. However, no transfer of training effects to latent factors of fluid or crystallized intelligence were observed. These results question the utility and validity of WM training as means of improving cognitive abilities.