Predicting performance on the Raven's Matrices

The roles of associative learning and retrieval efficiency

Lindsey Clara Lilienthal, Elaine Tamez, Joel Myerson, Sandra Hale

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Previous studies have shown that performance on Williams and Pearlberg's (2006) complex associative learning task is a good predictor of fluid intelligence. This task is similar in structure to that used in studying the fan effect (Anderson, 1974), as both tasks involve forming multiple associations and require retrieval in the face of interference. The purpose of the present study was to investigate the relations among complex associative learning, working memory, and fluid intelligence. Specifically, we asked whether retrieval efficiency, as measured by the fan effect, could account for the relation between complex associative learning and performance on Raven's Advanced Progressive Matrices. Consistent with previous findings, complex associative learning predicted Raven's performance, but the fan effect did not account for this relation. Notably, the learning phase of the fan effect task was significantly correlated with both complex associative learning and Raven's performance, providing further support for the importance of learning as a predictor of fluid intelligence.

Original languageEnglish (US)
Pages (from-to)704-716
Number of pages13
JournalJournal of Cognitive Psychology
Volume25
Issue number6
DOIs
StatePublished - Sep 30 2013

Fingerprint

Crows
Learning
Efficiency
Intelligence
Associative Learning
Short-Term Memory

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology

Cite this

@article{fef09b3442f84df6bea7f0698a2a873d,
title = "Predicting performance on the Raven's Matrices: The roles of associative learning and retrieval efficiency",
abstract = "Previous studies have shown that performance on Williams and Pearlberg's (2006) complex associative learning task is a good predictor of fluid intelligence. This task is similar in structure to that used in studying the fan effect (Anderson, 1974), as both tasks involve forming multiple associations and require retrieval in the face of interference. The purpose of the present study was to investigate the relations among complex associative learning, working memory, and fluid intelligence. Specifically, we asked whether retrieval efficiency, as measured by the fan effect, could account for the relation between complex associative learning and performance on Raven's Advanced Progressive Matrices. Consistent with previous findings, complex associative learning predicted Raven's performance, but the fan effect did not account for this relation. Notably, the learning phase of the fan effect task was significantly correlated with both complex associative learning and Raven's performance, providing further support for the importance of learning as a predictor of fluid intelligence.",
author = "Lilienthal, {Lindsey Clara} and Elaine Tamez and Joel Myerson and Sandra Hale",
year = "2013",
month = "9",
day = "30",
doi = "10.1080/20445911.2013.791299",
language = "English (US)",
volume = "25",
pages = "704--716",
journal = "Journal of Cognitive Psychology",
issn = "2044-5911",
publisher = "Psychology Press Ltd",
number = "6",

}

Predicting performance on the Raven's Matrices : The roles of associative learning and retrieval efficiency. / Lilienthal, Lindsey Clara; Tamez, Elaine; Myerson, Joel; Hale, Sandra.

In: Journal of Cognitive Psychology, Vol. 25, No. 6, 30.09.2013, p. 704-716.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Predicting performance on the Raven's Matrices

T2 - The roles of associative learning and retrieval efficiency

AU - Lilienthal, Lindsey Clara

AU - Tamez, Elaine

AU - Myerson, Joel

AU - Hale, Sandra

PY - 2013/9/30

Y1 - 2013/9/30

N2 - Previous studies have shown that performance on Williams and Pearlberg's (2006) complex associative learning task is a good predictor of fluid intelligence. This task is similar in structure to that used in studying the fan effect (Anderson, 1974), as both tasks involve forming multiple associations and require retrieval in the face of interference. The purpose of the present study was to investigate the relations among complex associative learning, working memory, and fluid intelligence. Specifically, we asked whether retrieval efficiency, as measured by the fan effect, could account for the relation between complex associative learning and performance on Raven's Advanced Progressive Matrices. Consistent with previous findings, complex associative learning predicted Raven's performance, but the fan effect did not account for this relation. Notably, the learning phase of the fan effect task was significantly correlated with both complex associative learning and Raven's performance, providing further support for the importance of learning as a predictor of fluid intelligence.

AB - Previous studies have shown that performance on Williams and Pearlberg's (2006) complex associative learning task is a good predictor of fluid intelligence. This task is similar in structure to that used in studying the fan effect (Anderson, 1974), as both tasks involve forming multiple associations and require retrieval in the face of interference. The purpose of the present study was to investigate the relations among complex associative learning, working memory, and fluid intelligence. Specifically, we asked whether retrieval efficiency, as measured by the fan effect, could account for the relation between complex associative learning and performance on Raven's Advanced Progressive Matrices. Consistent with previous findings, complex associative learning predicted Raven's performance, but the fan effect did not account for this relation. Notably, the learning phase of the fan effect task was significantly correlated with both complex associative learning and Raven's performance, providing further support for the importance of learning as a predictor of fluid intelligence.

UR - http://www.scopus.com/inward/record.url?scp=84884567889&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884567889&partnerID=8YFLogxK

U2 - 10.1080/20445911.2013.791299

DO - 10.1080/20445911.2013.791299

M3 - Article

VL - 25

SP - 704

EP - 716

JO - Journal of Cognitive Psychology

JF - Journal of Cognitive Psychology

SN - 2044-5911

IS - 6

ER -