TY - JOUR
T1 - Test-retest reliability and predictive validity of the implicit association test in children
AU - Rae, James R.
AU - Olson, Kristina R.
N1 - Funding Information:
We thank Allycen Kurup, Anne Fast, Arianne Eason, Deja Edwards, Elizabeth Ake, Gabrielle Lindquist, Lilly Durwood, Madeleine DeMeules, Michelle Chiou, Monica Cook, Sarah Colombo, Selin Gülgöz, and Tammie Zhao for their assistance with data collection. We thank Sapna Cheryan, Anthony G. Greenwald, Anna Newheiser, and members of the Social Cognitive Development lab at the University of Washington for comments on earlier drafts of this article. We would like to acknowledge the support of NSF grant 1523632 to Kristina Olson.
Publisher Copyright:
© 2017 American Psychological Association.
PY - 2018/2/1
Y1 - 2018/2/1
N2 - The Implicit Association Test (IAT) is increasingly used in developmental research despite minimal evidence of whether children's IAT scores are reliable across time or predictive of behavior. When test-retest reliability and predictive validity have been assessed, the results have been mixed, and because these studies have differed on many factors simultaneously (lag-time between testing administrations, domain, etc.), it is difficult to discern what factors may explain variability in existing test-retest reliability and predictive validity estimates. Across five studies (total N=19; ages 6- to 11-years-old), we manipulated two factors that have varied in previous developmental research-lag-time and domain. An internal meta-analysis of these studies revealed that, across three different methods of analyzing the data, mean test-retest (rs of .48, .38, and .34) and predictive validity (rs of .46, .20, and .10) effect sizes were significantly greater than zero. While lag-time did not moderate the magnitude of test-retest coefficients, whether we observed domain differences in test-retest reliability and predictive validity estimates was contingent on other factors, such as how we scored the IAT or whether we included estimates from a unique sample (i.e., a sample containing gender typical and gender diverse children). Recommendations are made for developmental researchers that utilize the IAT in their research.
AB - The Implicit Association Test (IAT) is increasingly used in developmental research despite minimal evidence of whether children's IAT scores are reliable across time or predictive of behavior. When test-retest reliability and predictive validity have been assessed, the results have been mixed, and because these studies have differed on many factors simultaneously (lag-time between testing administrations, domain, etc.), it is difficult to discern what factors may explain variability in existing test-retest reliability and predictive validity estimates. Across five studies (total N=19; ages 6- to 11-years-old), we manipulated two factors that have varied in previous developmental research-lag-time and domain. An internal meta-analysis of these studies revealed that, across three different methods of analyzing the data, mean test-retest (rs of .48, .38, and .34) and predictive validity (rs of .46, .20, and .10) effect sizes were significantly greater than zero. While lag-time did not moderate the magnitude of test-retest coefficients, whether we observed domain differences in test-retest reliability and predictive validity estimates was contingent on other factors, such as how we scored the IAT or whether we included estimates from a unique sample (i.e., a sample containing gender typical and gender diverse children). Recommendations are made for developmental researchers that utilize the IAT in their research.
KW - Implicit Association Test
KW - Implicit attitudes
KW - Implicitidentity
KW - Predictive validity
KW - Test-retest reliability
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U2 - 10.1037/dev0000437
DO - 10.1037/dev0000437
M3 - Article
C2 - 29251966
AN - SCOPUS:85038223405
SN - 0012-1649
VL - 54
SP - 308
EP - 330
JO - Developmental Psychology
JF - Developmental Psychology
IS - 2
ER -