MODEL OF CHEATING IN A ROMANTIC RELATIONSHIP

Autor/innen

  • Exequiel R. Gono Jr. PhD, University of Mindanao, Philippines

DOI:

https://doi.org/10.46827/ejsss.v9i5.1650

Schlagwörter:

cheating, romantic relationship, logistic regression, Philippines

Abstract

This study aimed to investigate the likelihood of cheating in a romantic relationship using predictive modeling techniques. The researchers collected data from 500 respondents who completed the Hendrick and Hendrick's Theory of Love survey questionnaire. The results indicated that friendship love received the highest mean score, while possessive love received the lowest. Sex, religion, and education are significantly associated with cheating. The researchers utilized the age and types of love as predictors in an empirical analysis of cheating in a romantic relationship. The model demonstrated a good fit and accurately represented the data. Age and altruistic love were significant predictors of cheating, while passionate and friendship love reduced the likelihood of cheating. Altruistic love contributed the most to cheating among the types of love. The findings suggest that individuals who are older and have a stronger inclination towards altruistic love are more likely to cheat in a romantic relationship. Conversely, those with a greater degree of friendship and passionate love are less likely to engage in cheating. These results underscore the importance of understanding the different types of love in predicting infidelity in a romantic relationship.

 

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Autor/innen-Biografie

  • Exequiel R. Gono Jr., PhD, University of Mindanao, Philippines
    Exequiel R. Gono Jr. is a graduate school faculty member at the College of Teacher Education of University of Mindanao, Matina Campus. He is a member of the Philippine Statistical Association, the Philippine Association of Researchers and Statistical Software Users, The Philippine Association for Teacher Education, Mathematics Teacher Education, and the Philippine eLearning Society (Member). His research interests are Mathematics Education, Assessment of Learning, Mathematical Modeling, and Applied Statistics. Dr. Gono has authored and co-authored research publications such as Probabilistic Estimation of Passing the Pharmacist Licensure Examination, Redefinition of the Parameters of Meaningful Mathematics Learning, Obstacles in Pursuing Business among Entrepreneurship Students, Status of mangroves and faunistic components in Vanishing Island, Island Garden City of Samal, and Estimating Technical Efficiency of Academic Departments of a Philippine Higher Education Institution.

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Veröffentlicht

2024-02-20

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