Memorias de investigación
Communications at congresses:
Big five inventory robustness: a test-retest analysis
Year:2019

Research Areas
  • Wine,
  • Emotion,
  • Consumer

Information
Abstract
The influence of individual differences has been considered as relevant in the measurement of the emotional response. One of these individual factors is the personality, which is relatively constant in a subject. Emotional response studies sometimes need more than one session to collect information. Therefore, the aim of the present study was to evaluate the robustness of personality assessment by Big Five Inventory (BFI) in sensory consumer tests. A panel of 95 consumers (20-33 years old; 60% female and 40% male) was asked to attend twice and complete a questionnaire composed by: (1) sociodemographic, (2) liking and (3) emotions evoked by a set of products, and (4) the BFI personality questionnaires. Participants rated 44 statements of BFI using a 5-point scale. To analyze the quality of data, Cronbach?s alpha was used to confirm the internal consistency of the different dimensions, and Interclass Correlation Coefficient (ICC) to evaluate test-retest reliability. Internal consistency of the five dimensions was similar in both sessions as shown by Cronbach?s alpha values: Extraversion?0.85, Agreeableness?0.80, Conscientiousness?0.70, Neuroticism?0.80, and Openness?0.85. The reliability of the five dimensions reported ICC values between 0.91 to 0.96. Also, each of the 44 statements revealed ICC values higher than 0.8. Both, dimensions and items, presented an excellent reliability and therefore an agreement between measurements. In short, BFI has been shown to be a robust method to assess personality in the context of sensory studies and it is not necessary to replicate BFI in each session.
International
Si
Congress
13th Pangborn Sensory Science Symposium
970
Place
Edimburgo
Reviewers
Si
ISBN/ISSN
0000-0000-0000-0
Start Date
28/07/2019
End Date
01/08/2019
From page
1
To page
1
Proceedings
Participants
  • Autor: Maria Mora Gijon UPM
  • Autor: Amanda Dupas de Matos Universidad de Pádova
  • Autor: Carolina Chaya Romero UPM

Research Group, Departaments and Institutes related
  • Creador: Departamento: Economía Agraria, Estadística y Gestión de Empresas