Putting Reversal Theory’s Model of Four Domains of Experience in the Hot Seat

Autor: Lonzozou Kpanake, Myriam Guedj, María Teresa Muñoz Sastre, Ornheilia Zounon, Etienne Mullet
Přispěvatelé: École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Université Toulouse - Jean Jaurès (UT2J), Centre d’Etudes et de Recherches en Psychopathologie et Psychologie de la Santé (CERPPS)
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Journal of Motivation, Emotion, and Personality: Reversal Theory Studies
Journal of Motivation, Emotion, and Personality: Reversal Theory Studies, Reversal Theory Society, 2014, 2, pp.1-9. ⟨10.12689/jmep.2014.201⟩
ISSN: 2331-2343
Popis: International audience; We present, in a synthetic way, the main findings from a series of ten studies in the domain of health psychology. All of these studies have inventoried motives to perform or not perform a given health-related behavior (e.g., consulting a physician) without postulating any a priori motivational structure. As a result, the whole set of studies allowed testing the capacity of reversal theory's model of four domains of experience to account for motivational data gathered in different settings but on the common ground of health-related behavior. From five to ten factors were found in each study, and all these factors were classifiable in one or other of the twelve categories offered by the structure of four domains of experience when transactions and relationships were considered in combination. All factors posited by reversal theory were found except one; the only factor that was not found at least once was of the pro-autic kind. In some cases, two factors of motives had to be classified under the same rubric, which led to the suggestion that the relationship domain may perhaps be extended. Overall, our findings suggest that the four-domain model, and its associated ten mental states, encompass and surpass previous theories of human motivation.
Databáze: OpenAIRE