Predictors of Global Satisfaction in Romantic Relationships

this research describes the data of a model to predict the global satisfaction with romantic relationships from a set of variables related to love feeling, sexual relationship and satisfaction with life. Data regarding the validity and reliability of a measure of sexual satisfaction for the brazilia...

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Detalles Bibliográficos
Autores: de Andrade, Alexsandro Luiz, Garcia, Agnaldo, Cano, Débora Staub
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:Brasil
Institución:Universidade Presbiteriana Mackenzie (UPM)
Repositorio:Psicologia (Universidade Presbiteriana Mackenzie. Online)
Idioma:portugués
OAI Identifier:oai:ojs.editorarevistas.mackenzie.br:article/2237
Acceso en línea:http://editorarevistas.mackenzie.br/index.php/ptp/article/view/2237
Access Level:acceso abierto
Palabra clave:relacionamento interpessoal
quality in romantic relationships
love relationships
sexual satisfaction
interpersonal relationships
satisfacción conyugal
calidad en relaciones románticas
relaciones amorosas
satisfacción sexual
relación interpersonal
satisfação conjugal
qualidade em relacionamentos românticos
relações amorosas
satisfação sexual
Descripción
Sumario:this research describes the data of a model to predict the global satisfaction with romantic relationships from a set of variables related to love feeling, sexual relationship and satisfaction with life. Data regarding the validity and reliability of a measure of sexual satisfaction for the brazilian culture are also presented. In total, 344 participants from two brazilian cities took part in the survey, including 195 (57%) males. The average age of participants was 29.1 years (SD = 9.2 years). The measure validated in this study presented two resulting dimensions arising from the analysis of principal components and exploratory factor analysis: sexual satisfaction in relationships (SSR) and sexual dissatisfaction in relationships (ISR), with levels of Cronbach’s alpha reliability of 0.89 and 0.86 respectively. Finally, a multiple regression analysis was carried out to assess the relationship between the investigated dimensions of variables and a measure of global satisfaction in the relationship. The resulting model explained 50.9% of the variance in satisfaction with the relationship.