What do Raven's Matrices measure? An analysis in terms of sex differences
By N. Mackintosh, E. Bennett. 2005
127 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Automotive Engineering, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/389036652208e02ff65484a398944efb8cb7dc0a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ian J. Deary
- G. Der
- Kariyushi Rao
- Alan Baddeley
- Scott Barry Kaufman
- Timothy C. Bates
- Mark R. Wilson
- Andrew D. Wolvin
In Automotive Engineering
In Experimental and Cognitive Psychology
- Scott Barry Kaufman
- G. Der
- Ian J. Deary
- Kariyushi Rao
- M. Leeuwen
- S. Berg
- Dorret I. Boomsma
- Alan Baddeley
Citations in the corpus
- Raven's Matrices and Working Memory: A Dual-Task Approach (2013, methodology): “…dual-task methods with earlier attempts to categorize individual problems on the basis of the number and type of rules that underpin solution (Carpenter et al., 1990; Mackintosh & Bennett, 2006), although this would of course first require adequately large and generally agreed samples of items.”
- A twin-family study of general IQ (2008, background): “There are also indications that the Standard Raven is biased across gender (Abad, Colom, Rebollo, & Escorial, 2004; Mackintosh & Bennett, 2005) and that there are sex by age interactions (Lynn et al., 2004).”
- Sex differences in mental rotation and spatial visualization ability: Can they be accounted for by differences in working memory capacity? (2007, background): “On the 3D versions of mental rotation tasks, the difference is still close to one standard deviation (e.g., Mackintosh & Bennett, 2005).”
- Brother–sister differences in the g factor in intelligence: analysis of full, opposite-sex siblings from the NLSY1979 (2007, background): “Arguably, the strongest evidence for a sex difference in g consists of the meta-analysis of the Raven's Matrices (Lynn & Irwing, 2004, 2005) but, although the Progressive Matrices is typically highly g-loaded, its item content is heterogeneous (Lynn, Allick, & Irwing, 2004; Mackintosh & Bennett, 20”