The power of cognitive ability in explaining educational test performance, relative to other ostensible contenders

Does Students' Level of Intelligence Moderate the Relationship Between Socio-Economic Status and Academic Achievement?

The association between school students' social background and school achievement is well documented. Recent studies demonstrated that this association might be moderated by the level of cognitive potential. Based on these results, we recruited an elementary school sample (N = 837) and an adolescent sample at the end of their compulsory school time (N = 2100) to investigate whether the associations between students' social background and their academic achievement in math and language arts were moderated by the level of their general cognitive competencies, i.e., intelligence. To this end, we assessed intelligence, math and reading competencies, teacher-reported grades, and students' socio-economic background (number of books at home). In both samples, the association between students' socio-economic background and language arts grades was moderated by their intelligence level but not the ones with math grades, reading, and math competencies. The association between socio-economic background and language arts grades was strongest in the average intelligence sample and smaller in the above-average intelligence sample. Results are discussed with regard to their implications for the discussion of social injustice in schools.

Examining the Existence of Cognitive Thresholds in Highly Quantitative College Courses

While the dominant finding indicates a monotonic relationship between cognitive ability and academic performance, some researchers have suggested the existence of cognitive thresholds for challenging coursework, such that a certain level of cognitive ability is required for reaching a satisfactory level of academic achievement. Given the significance of finding a threshold for understanding the relationship between cognitive ability and academic performance, and the limited studies on the topic, it is worth further investigating the possibility of cognitive thresholds. Using a multi-institutional dataset and the necessary condition analysis (NCA), we attempted to replicate previous findings of cognitive thresholds on the major GPA of mathematics and physics-majored students, as well as the course grade of organic chemistry, to examine whether high SAT math scores constitute a necessary condition for obtaining satisfactory grades in these courses. The results from the two studies do not indicate an absolute cognitive threshold point below which students are doomed to fail regardless of the amount of effort they devote into learning. However, we did find that the chance of students with a low level of quantitative ability to succeed in highly quantitative courses is very small, which qualifies for the virtually necessary condition.

Being Snoopy and Smart

Abstract. Curiosity is a basic driver for learning and development. It has been conceptualized as a desire for new information and knowledge that motivates people to explore their physical and social environment. This raises the question of whether curiosity facilitates the acquisition of knowledge. The present study ( N = 100) assessed epistemic curiosity and general knowledge as well as fluid intelligence (i.e., reasoning ability, processing speed, memory) in a student sample. The results indicate that epistemic curiosity is moderately related to knowledge ( r = .24) and reasoning ability ( r = .30). None of the fluid intelligence measures did moderate the relationship between curiosity and knowledge (interaction terms β < |.08|). Rather, reasoning ability mediated the relationship between epistemic curiosity and general knowledge (indirect effect: β = .10, p < .05). The findings suggest that epistemic curiosity facilitates the acquisition of knowledge by promoting reasoning. One might speculate that epistemically curious individuals enrich their environment, which in turn enhances their cognitive ability.

Individual Differences in Attention and Intelligence: A United Cognitive/Psychometric Approach

Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence (g). According to POT, g does not reflect a general cognitive ability. Instead, g is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are sampled in an overlapping manner across a battery of intelligence tests. POT explains several benchmark findings on human intelligence. However, the precise nature of the executive attention processes underlying g remains unclear. In the current paper, we discuss challenges associated with building a theory of individual differences in attention and intelligence. We argue that the conflation of psychological theories and statistical models, as well as problematic inferences based on latent variables, impedes research progress and prevents theory building. Two studies designed to illustrate the unique features of POT relative to previous approaches are presented. In Study 1, a simulation is presented to illustrate precisely how POT accounts for the relationship between executive attention processes and g. In Study 2, three datasets from previous studies are reanalyzed (N = 243, N = 234, N = 945) and reveal a discrepancy between the POT simulated model and the unity/diversity model of executive function. We suggest that this discrepancy is largely due to methodological problems in previous studies but also reflects different goals of research on individual differences in attention. The unity/diversity model is designed to facilitate research on executive function and dysfunction associated with cognitive and neural development and disease. POT is uniquely suited to guide and facilitate research on individual differences in cognitive ability and the investigation of executive attention processes underlying g.

Hand preference and Mathematical Learning Difficulties: New data from Greece, the United Kingdom, and Germany and two meta-analyses of the literature

Increased rates of atypical handedness are observed in neurotypical individuals who are low-performing in mathematical tasks as well as in individuals with special educational needs, such as dyslexia. This is the first investigation of handedness in individuals with Mathematical Learning Difficulties (MLD). We report three new studies (N = 134; N = 1,893; N = 153) and two sets of meta-analyses (22 studies; N = 3,667). No difference in atypical hand preference between MLD and Typically Achieving (TA) individuals was found when handedness was assessed with self-report questionnaires, but weak evidence of a difference was found when writing hand was the handedness criterion in Study 1 (p = .049). Similarly, when combining data meta-analytically, no hand preference differences were detected. We suggest that: (i) potential handedness effects require larger samples, (ii) direction of hand preference is not a sensitive enough measure of handedness in this context, or that (iii) increased rates of atypical hand preference are not associated with MLD. The latter scenario would suggest that handedness is specifically linked to language-related conditions rather than conditions related to cognitive abilities at large. Future studies need to consider hand skill and degree of hand preference in MLD.

The Role of Screen Time and Screen Activity in the Nonverbal Reasoning of 5-Year-Olds: Cross-Sectional Findings from a Large Birth Cohort Study

Family and home environment factors have been outlined in previous literature as important variables that affect early reasoning development. However, little research has focused on the association between screen use in the home environment and nonverbal reasoning ability. The aim of this cross-sectional study is to examine the role of both screen time and various screen activities (e.g., television, video, or educational games) in nonverbal reasoning ability in 9,001 5-year-old children using a large birth cohort study (Growing Up in Ireland). Interviews conducted with parents related to the children's screen use and various family factors, while reasoning ability was measured using a standardized task (Picture Similarities Task, British Ability Scales II). A hierarchical multiple regression examined the role of screen use in nonverbal reasoning, while also statistically controlling for family factors such as parental education and employment status. Screen use variables made a significant contribution to the regression model, even after family factors were accounted for, although the effect sizes were very small. Playing educational games, video games, or engaging in over three hours screen use per day were all significant predictors of nonverbal reasoning scores in the final adjusted model. The results of this study suggest that screen use may play a small role in the development of nonverbal reasoning in young children. The findings highlight the need for further studies in this area and may have implications for current debates in screen time research.

Heart Rate Variability and Academic Performance of First-Year University Students

BACKGROUND

Heart rate variability (HRV) measures have been shown to be positively associated with cognitive processing, while a positive association between cognitive processing and academic performance has been demonstrated.

OBJECTIVES

To determine whether resting HRV or HRV marker response to either a cognitive or an orthostatic challenge is significantly associated with a first-year university student's academic performance.

METHOD

HRV markers used in the study included total power (TP) as a measure of overall HRV and the root mean square of successive differences (RMSSD) as a measure of parasympathetic influence on the heart. Academic performance was determined by standardized general mean scores.

RESULTS

Greater supine overall HRV (TP) was significantly associated with greater academic performance predominantly in females. Vagal (RMSSD) measures were not shown to be associated with academic performance.

CONCLUSIONS

This, to our knowledge, is the first study to show that overall HRV has a significant positive association with academic performance of a first-year university student.