Literature DB >> 27720867

The role of test-retest reliability in measuring individual and group differences in executive functioning.

Kenneth R Paap1, Oliver Sawi2.   

Abstract

BACKGROUND: Studies testing for individual or group differences in executive functioning can be compromised by unknown test-retest reliability. NEW
METHOD: Test-retest reliabilities across an interval of about one week were obtained from performance in the antisaccade, flanker, Simon, and color-shape switching tasks. There is a general trade-off between the greater reliability of single mean RT measures, and the greater process purity of measures based on contrasts between mean RTs in two conditions. The individual differences in RT model recently developed by Miller and Ulrich was used to evaluate the trade-off.
RESULTS: Test-retest reliability was statistically significant for 11 of the 12 measures, but was of moderate size, at best, for the difference scores. The test-retest reliabilities for the Simon and flanker interference scores were lower than those for switching costs. COMPARISON WITH EXISTING
METHODS: Standard practice evaluates the reliability of executive-functioning measures using split-half methods based on data obtained in a single day. Our test-retest measures of reliability are lower, especially for difference scores. These reliability measures must also take into account possible day effects that classical test theory assumes do not occur.
CONCLUSIONS: Measures based on single mean RTs tend to have acceptable levels of reliability and convergent validity, but are "impure" measures of specific executive functions. The individual differences in RT model shows that the impurity problem is worse than typically assumed. However, the "purer" measures based on difference scores have low convergent validity that is partly caused by deficiencies in test-retest reliability.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Antisaccade; Executive functions; Flanker; Reliability; Simon; Switching; Validity

Mesh:

Year:  2016        PMID: 27720867     DOI: 10.1016/j.jneumeth.2016.10.002

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  31 in total

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Review 9.  Measuring Adaptive Control in Conflict Tasks.

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