Design and Validation of an Instrument to Assess Online Counterproductive Behavior
Personality Traits as Predictors of these Behaviors

DOI:  https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.11415
Anatomía de la vida

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Published: Sep 5, 2023
Issue: Vol. 41 No. 3 (2023): Avances en Psicología Latinoamericana
Section Artículos


Keywords: personality traits online behavior antisocial prosocial

Main Article Content

Authors

  María Laura Lupano Perugini
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
  Alejandro Castro Solano
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)

Abstract

The present study aimed to design and validate a scale to assess online counterproductive behavior that includes the joint analysis of destructive (antisocial) and constructive (prosocial) behaviors. In addition, it was studied which personality traits (normal, pathological, negative or positive) predict this counterproductive behavior. 351 subjects from the general Argentine population participated (156 men, 191 women, 2 identified themselves as non-binary), with an average age of 39.35 years (sd = 13.79). In order to achieve the objectives, in addition to the constructed test, the following instruments were used: Personality Inventory for DSM-5 Brief-Form, Positive Traits Inventory Short-Form, Dark Triad Scale, and a survey designed ad hoc to assess internet and social media sites use. The exploratory factor analysis revealed a two-factor structure —oriented to the evaluation of the two types of behaviors— that explained 57.5 % of the total variance. As a result, a scale of 18 items with very good reliability values —omega coefficient— (destructive behaviors ω = 0.88; constructive behaviors ω = 0.79) was developed. Finally, hierarchical regression analyzes were performed. The results showed that the Dark Triad traits best predict destructive behaviors, while positive traits predict constructive behaviors.

Author Biographies

María Laura Lupano Perugini, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)

Facultad de Ciencias Sociales, Universidad de Palermo, Facultad de Psicología, Universidad de Buenos Aires

Alejandro Castro Solano, Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)

Facultad de Ciencias Sociales, Universidad de Palermo, Facultad de Psicología, Universidad de Buenos Aires

How to Cite
Lupano Perugini, M. L., & Castro Solano, A. (2023). Design and Validation of an Instrument to Assess Online Counterproductive Behavior: Personality Traits as Predictors of these Behaviors. Avances En Psicología Latinoamericana, 41(3), 1–18. https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.11415
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