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Implications of Individual Differences in On-Average Null Effects

  • Most psychological models are intended to describe processes that operate within each individual. In many research areas, however, models are tested by looking at results averaged across many individuals, despite the fact that such averaged results may give a misleading picture of what is true for each one. We consider this conundrum with respect to the interpretation of on-average null effects. Specifically, even though an experimental manipulation might have no effect on average across individuals, it might still have demonstrable effects-albeit in opposite directions-for many or all of the individuals tested. We discuss several examples of research questions for which it would be theoretically crucial to determine whether manipulations really have no effect at the individual level, and we present a method of testing for individual-level effects.

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Metadaten
Author details:Jeff Miller, Wolfgang SchwarzORCiDGND
DOI:https://doi.org/10.1037/xge0000367
ISSN:0096-3445
ISSN:1939-2222
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/29058941
Title of parent work (English):Journal of experimental psychology : General
Publisher:American Psychological Association
Place of publishing:Washington
Publication type:Article
Language:English
Date of first publication:2018/10/23
Publication year:2018
Release date:2022/01/10
Tag:hypothesis testing; individual differences; null effects; psychological models
Volume:147
Issue:3
Number of pages:21
First page:377
Last Page:397
Organizational units:Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
DDC classification:1 Philosophie und Psychologie / 15 Psychologie
Peer review:Referiert
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