raven progressive matrices (rpms) and wechsler intelligence scale for children (wsic-r) are two common general intelligence measuring scales used in iranian high schools. in this paper the relationships between g factor scales and students’ reading comprehension, grammar, and vocabulary was examined by correlation and regression analysis. standard tests of grammar and vocabulary and cambridge k...

Raven Progressive Matrices (RPMs) and Wechsler Intelligence Scale for Children (WSIC-R) are two common general intelligence measuring scales used in Iranian high schools. In this paper the relationships between g factor scales and students’ reading comprehension, grammar, and vocabulary was examined by correlation and regression analysis. Standard tests of grammar and vocabulary and Cambridge K...

Raven’s Progressive Matrices (RPMs) are a popular family of general intelligence tests, and provide a non-verbal measure of a test subject’s reasoning abilities. Traditionally RPMs have been manually designed. To make them readily available for both practice and examination, we tackle the problem of automatically synthesizing RPMs. Our goal is to efficiently generate a large number of RPMs that...

Reasoning The abstract reasoning was assessed using Ravens Advanced Progressive Matrices (Raven, Court, & Raven, 1994) Set I and Set II. Also, this test gives us a measure of the general Intelligence quotient (IQ) of the participants in the study. The number of correct respons-

Raven matrices are used for assessing fluid intelligence and the intellectual level of groups with low intelligence. Our study addresses qualitative analysis of information processing in Raven matrices performance among individuals with intellectual disability with that of their typically developed (TD) counterparts. Twenty-three adults with non-specific intellectual disability (NSID), 15 adult...

Raven’s Progressive Matrices (RPMs) have been widely used to evaluate the visual reasoning ability of humans. To tackle challenges perception and logic on RPMs, we propose a Hierarchical ConViT with Attention-based Relational Reasoner (HCV-ARR). Traditional solution methods often apply relatively shallow convolution networks visually perceive shape patterns in RPM images, which may not fully mo...

The present paper aimed to explore the possibility of using the Advanced Progressive Matrices ‒ Set I (APM-Set I) as a short form of Standard Progressive Matrices for sound assessment of general mental ability in a short time frame. Confirmatory factor analysis for dichotomous data attested the unidimensionality of APM-Set I, and then the Rasch model was applied. All items showed an acceptable ...

A ubiquitous finding in intelligence research is that there is a substantial correlation between working memory (WM) capacity and general (fluid) intelligence tests (e.g., [Intelligence 14 (1990) 389]). The standard explanation for this correlation is as follows: People with high WM capacity can keep in memory many elements and are therefore good at storing subresults needed within an item. We ...

Raven’s Progressive Matrices (Raven, Raven, & Court, 1998) is one of the most prevalent assays of fluid intelligence; however, most theoretical accounts of Raven’s focus on producing models which can generate the correct answer but do not fit human performance data. We provide a computational-level theory which interprets rule induction in Raven’s as Bayesian inference. The model computes the p...