A valid and reliable measure of nothing: disentangling the "Gavagai effect" in survey data

Arias, Victor B.; Bruggeman, Martin

Abstract

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.

Más información

Título según WOS: A valid and reliable measure of nothing: disentangling the "Gavagai effect" in survey data
Título de la Revista: PeerJ
Volumen: 8
Editorial: PEERJ INC
Fecha de publicación: 2020
DOI:

10.7717/PEERJ.10209

Notas: ISI