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Setting Doesn't Matter Much: A Meta-Analytic Comparison of the Results of Intelligence Tests Obtained in Group and Individual Settings
This study deals with the effects of the diagnostic setting on the performance in intelligence tests. We conducted a meta-analysis in which k = 30 samples with a total sample size of N = 2,448 were integrated. We compared results for the same intelligence tests administered either in a group or in a...
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Published in: | European journal of psychological assessment : official organ of the European Association of Psychological Assessment 2019-05, Vol.35 (3), p.309-316 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | This study deals with the effects of the diagnostic
setting on the performance in intelligence tests. We conducted a meta-analysis
in which k = 30 samples with a total sample size
of N = 2,448 were integrated. We compared results
for the same intelligence tests administered either in a group or in an
individual setting. The main analysis indicated a small mean population effect
[M(g) = 0.085] that was not
significant
[−0.036 ≤ M(g) ≤ 0.206].
Nevertheless, moderator analyses indicated a stronger
[M(g) = 0.193] and
significant
[0.087 ≤ M(g) ≤ 0.298]
effect in favor of individual settings for studies employing a between-person
design. Setting effects in within-person designs were most likely superimposed
by retest effects. As the setting effect was very small, the current testing
practice in which results obtained in group and individual settings are treated
as interchangeable is not overly problematic. However, our results encourage
test developers to examine setting effects before stating that results obtained
in different settings are equivalent. Between-person designs using participants
of comparable ability are most suitable in this context as retest effects can be
ruled out. |
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ISSN: | 1015-5759 2151-2426 |
DOI: | 10.1027/1015-5759/a000402 |