A valid and reliable measure of nothing: disentangling the “Gavagai effect” in survey data
Background In three recent studies, Maul demonstrated that sets of nonsense items can acquire excellent psychometric properties. Our aim was to find out why responses to nonsense items acquire a well-defined structure and high internal consistency. Method We designed two studies. In the first study,...
Main Authors: | Victor B. Arias, Fernando P. Ponce, Martin Bruggeman, Noelia Flores, Cristina Jenaro |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2020-11-01
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Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/10209.pdf |
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