Practical intelligence at work: relationship between aging and cognitive efficiency among managers in a bank environment.

The quest for item types based on information processing: An analysis of Raven's Advanced Progressive Matrices, with a consideration of gender differences

Investigating operation-specific learning effects in the Raven's Advanced Progressive Matrices: A linear logistic test modeling approach

Verbal overshadowing effects on Raven's advanced progressive matrices: Evidence for multidimensional performance determinants

The correlation between individual differences in working memory capacity and performance on the Raven's Advanced Progressive Matrices (RAPM) is well documented yet poorly understood. The present work proposes a new explanation: that the need to use a new combination of rules on RAPM problems drives the relation between performance and working memory capacity scores. Evidence for this account is supported by an item-based analysis of performance during standard administration of the RAPM and an experiment that manipulates the need to use new rule combinations across 2 subsets of RAPM items. (PsycINFO Database Record (c) 2010 APA, all rights reserved).

Analysis of age differences in types of errors on the Raven's Advanced Progressive Matrices

Process differences as a function of test modifications: Construct validity of Raven's advanced progressive matrices under standard, abbreviated and/or speeded conditions – A meta-analysis

Dimensionality of the Raven's Advanced Progressive Matrices: Sex differences and visuospatial ability

Modulating fluid intelligence performance through combined cognitive training and brain stimulation

How does attention relate to the ability-specific and position-specific components of reasoning measured by APM?

The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlled or constrained a priori, resulting in unknown vulnerability to failure of specificity and generalisability. Evaluating a compact version of Raven's Advanced Progressive Matrices (RAPM), a widely used clinical test of fluid intelligence, we show that LaMa, a self-supervised artificial neural network trained solely on the completion of partially masked images of natural environmental scenes, achieves representative human-level test scores a prima vista, without any task-specific inductive bias or training. Compared with cohorts of healthy and focally lesioned participants, LaMa exhibits human-like variation with item difficulty, and produces errors characteristic of right frontal lobe damage under degradation of its ability to integrate global spatial patterns. LaMa's narrow training and limited capacity suggest matrix-style tests may be open to computationally simple solutions that need not necessarily invoke the substrates of reasoning.

Changes of cortical activity patterns during habituation to a reasoning test: A study with the 133Xe inhalation technique for measurement or regional cerebral blood flow

11 deaf students in a large midwestern school for the deaf were divided into gifted and nongifted groups by ratings of teachers and school administrators. There were six subjects in the gifted group (3 boys and 3 girls) and five subjects in the comparison group (3 boys and 2 girls). There was no statistically significant difference between mean raw scores of the two groups on Raven's Advanced Progressive Matrices. Also, teachers' rankings of the subjects identified as gifted did not correlate significantly with their Raven scores. Identification of gifted deaf students is too complex to be based only on teachers' ratings.

Publish (your data) or (let the data) perish! Why not publish your data too?

The mental speed—IQ relationship: unitary or modular?

Most studies in individual differences in the field of working memory research use complex span tasks to measure working memory capacity. Various complex span tasks based on different materials have been developed, and these tasks have proven both reliable and valid; several complex span tasks are often combined to provide a domain-general estimate of working memory capacity with even better psychometric properties. The present work sought to address two issues. Firstly, having participants perform several full-length complex span tasks in succession makes for a long and tedious procedure. Secondly, few complex span tasks have been translated and validated in French. We constructed a French working memory task labeled the Composite Complex Span (CCS). The CCS includes shortened versions of three classic complex span tasks: the reading span, symmetry span, and operation span. We assessed the psychometric properties of the CCS, including test-retest reliability and convergent validity, with Raven's Advanced Progressive Matrices and with an alpha span task; the CCS demonstrated satisfying qualities in a sample of 1,093 participants. This work provides evidence that shorter versions of classic complex span tasks can yield valid working memory estimates. The materials and normative data for the CCS are also included.