Cattell–Horn–Carroll cognitive‐achievement relations: What we have learned from the past 20 years of research
By K. McGrew, Barbara J. Wendling. 2010
224 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5e058678eef052556c7edaa73ae854089a10f523
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Developmental and Educational Psychology
- J. Newton
- A Alexander Beaujean
- M. Ahmadi
- Jennifer Diedrich
- Roland H. Grabner
- F. Schillinger
- Stephan E. Vogel
- K. McGrew
In Statistics and Probability
- M. Ahmadi
- A Alexander Beaujean
- F. Schillinger
- Jennifer Diedrich
- J. Newton
- Stephan E. Vogel
- Roland H. Grabner
- K. McGrew
Citations in the corpus
- John Carroll’s Views on Intelligence: Bi-Factor vs. Higher-Order Models (2015, background): “This is often done in the study of academic achievement [54] or aging [52].”
- The Impact of Motivation on Reading Comprehension (2017, background): “According to Kintsch and Rawson (2005), Joffe, Cain, and Maric (2007), and McGrew and Wendling (2010), text comprehension includes processing at various levels.”
- Math anxiety, intelligence, and performance in mathematics: Insights from the German adaptation of the Abbreviated Math Anxiety Scale (AMAS-G) (2018, background): “In addition to numerical and verbal intelligence, intelligence tests often include tasks to assess the figural facet of intelligence (McGrew, 2009; McGrew & Wendling, 2010).”
- Introduction to the special issue: Current research in Cattell–Horn–Carroll–based assessment (2010, background): “The second article, authored by McGrew and Wendling (2010), provides a synthesis of the existing research on CHC cognitive-achievement relations.”