New rule use drives the relation between working memory capacity and Raven's Advanced Progressive Matrices.

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

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

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.

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

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

Available body of evidence concerning the relationship between insight problem solving and working memory (WM) is ambiguous. Several authors propose that restructuring of the problem representation requires controlled search processes, which needs planning and involvement of WM. Other researchers suggest that the restructuring is achieved through the automatic spread of activation in long-term memory, assigning a limited role to WM capacity. In the present study we examined the correlations between insight problem solving performance and measures of WM updating function (n-back task), including general intelligence (as measured by Raven’s Advanced Progressive Matrices). The results revealed that updating function shared up to 30% of variance with the insight problem task performance, even when the influence of general mental ability was controlled for. These results suggest that insight problem solving is constrained by individual ability to update the content of WM.

Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography

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?

Evoked potential augmenting-reducing and personality differences

A study was conducted to determine which better predicts performance among bank managers: tacit practical knowledge as assessed by the Tacit Knowledge Inventory for Managers (TKIM) or 2 psychometric measures of reasoning, the Raven's Advanced Progressive Matrices (Raven's) and the Verbal Reasoning subtest of the Differential Aptitude Test (DAT). Two hundred bank managers (43 experts and 157 nonexperts), ages 24-59 years old, participated. Increased age was associated with lower performance in Raven's and the DAT but less so in the TKIM; best performing older managers on average had high levels of tacit knowledge, although they scored lower on psychometric reasoning measures; TKIM predicted managerial skill; DAT and Raven's did not. These results suggest that stabilization of some aspects of intelligence may occur in old age. Implications of the findings for the study of practical intelligence, expertise, and compensatory abilities are discussed.

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