Accuracy of food preference predictions in couples.

Food preferences Perspective taking Prediction accuracy Romantic couples Socio-Economic Panel (SOEP)

Journal

Appetite
ISSN: 1095-8304
Titre abrégé: Appetite
Pays: England
ID NLM: 8006808

Informations de publication

Date de publication:
01 02 2019
Historique:
received: 18 05 2018
revised: 08 11 2018
accepted: 23 11 2018
pubmed: 28 11 2018
medline: 7 3 2020
entrez: 28 11 2018
Statut: ppublish

Résumé

The goal of this study was to identify and empirically test variables that indicate how well partners in relationships know each other's food preferences. Participants (n = 2,854) lived in the same household and were part of a large, nationally representative panel study in Germany. Each partner independently predicted the other's preferences for several common food items. Results show that predictive accuracy was higher for likes and for extreme and stereotypical preferences as compared to dislikes and for moderate and idiosyncratic preferences. Accuracy was also higher for couples with a high similarity in preferences and with longer relationship duration but was independent of participants' age after controlling for relationship duration. The data also show that relationship duration was accompanied by higher similarity in couples' food preferences. There was a small positive correlation between partner knowledge and both partner similarity and satisfaction with family life, but no correlation between partner knowledge and general life satisfaction. The results reconcile both valence and base-rate accounts of preference prediction accuracy.

Identifiants

pubmed: 30481542
pii: S0195-6663(18)30771-2
doi: 10.1016/j.appet.2018.11.021
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

344-352

Informations de copyright

Copyright © 2018. Published by Elsevier Ltd.

Auteurs

Benjamin Scheibehenne (B)

University of Geneva, Geneva School of Economics and Management, 40 bd du Pont-d'Avre, 1211, Geneva, Switzerland. Electronic address: benjamin.scheibehenne@unige.ch.

Jutta Mata (J)

Health Psychology Lab, School of Social Sciences, University of Mannheim, Germany.

David Richter (D)

German Institute for Economic Research, Berlin, Germany.

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