Related Experiment Video
Updated: Sep 10, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Exploring Infidelity Behavior Patterns in a Sample of Peruvian Young Adults: A Latent Class Analysis
José Ventura-León1, Ammy Reyes2, Pablo D Valencia3
1Universidad Privada del Norte, Facultad de Ciencias de la Salud, Lima, Perú.
Abstract:
Infidelity has been widely researched; however, few studies have analyzed its behavioral patterns holistically using a person-centered approach. This study, with a sample of 400 young adults (Mage = 25.28; SD = 7.24), identified patterns of unfaithful behavior by using latent class analysis to classify subgroups with distinct patterns. The 20-item Likert-scale Multidimensional Infidelity Inventory-S (MII-S) was used to assess sexual and emotional infidelity. The results indicated four latent classes: infidelity (15.7%), sexual desire (14.4%), emotional interest (27.2%), and fidelity (42.5%). In addition, age and sex were significantly related to class membership. On the other hand, men were more likely to belong to the sexual desire class and women to the emotional interest and fidelity classes. For sexual orientation or relationship duration, there were no significant differences. Implications for clinical practice and research are discussed.
More Related Videos
06:52Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
Published on: September 17, 2019
05:52Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
Published on: November 21, 2013
Related Concept Videos
Longitudinal Studies
Longitudinal Research
Cross-Sectional Research
Behavioral Genetics and Its Designs
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...