Interacciones

Realist Evaluation and Synthesis in Psychology: Thriving in Complexity, Stalled by Language Barriers

2025-05-18T18:26:19+00:00

[Editorial]

The Role of Religiosity and Intrafamilial Relationships in Suicidal Ideation among High-school Adolescents: A PLS-SEM Analysis

2025-04-23T05:03:46+00:00

Suicidal ideation is a critical public health concern, particularly among adolescents, where various psychosocial factors may influence its prevalence. This study examines the relationship between religiosity, intrafamilial relationships, and suicidal ideation among high school students in Metropolitan Lima, Peru. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), we analyzed data collected from 339 students of one high school in Metropolitan Lima, Peru to determine how different dimensions of religiosity (subjective religiosity and religious practice) and intrafamilial relationships (positive perception and difficulties) predict positive and negative suicidal ideation. Results indicate that the perception of family unity and support significantly reduces negative suicidal ideation and enhances positive suicidal ideation, while difficulties in intrafamilial relationships contribute with enhances negative suicidal ideation and reduces positive suicidal ideation. Contrary to expectations, only subjective religiosity was found to have a positive significant impact on positive suicidal ideation, suggesting that personal religious beliefs, rather than formal religious practices, play a role in shaping adolescent mental health. These findings have implications for suicide prevention strategies, emphasizing the importance of family cohesion and the nuanced role of religiosity in adolescent well-being. Future research should explore these relationships longitudinally and incorporate qualitative insights to better understand the underlying mechanisms.

Construction, validity, and reliability of the Scale of Readiness for Change (SRCAA) in adults with alcoholism

2025-05-23T04:51:04+00:00

Introduction: To establish better approaches to alcoholism, this scale was developed with a focus on cognitive-behavioral aspects. Objective: Considering alcoholism as an issue that requires self-efficacy attention, the scale is designed to guide the psychotherapist in the behavioral change process of the alcoholic patient. Method: This psychometric research, with a non-experimental mixed-method descriptive design, is delineated by a non-probabilistic sampling method that employs structural equation modeling for an infinite sample. Using statistical software, the Aiken's V was obtained from seven expert judges, and 20 items were considered in the exploratory factor analysis for factor loadings (two factors) and factorial weights (λ = 0.62 - λ = 0.94), with Kaiser-Meyer-Olkin and Bartlett's test of sphericity results (KMO = 0.96, p < 0.01). Results: A two-factor model was found with adequate goodness-of-fit values (CFI = 0.987; TLI = 0.985; SRMR = 0.073; RMSEA = 0.077), with the removal of item C11 due to its low factorial loading (λ = 0.24). The scale, which contains 19 items and 2 factors, shows a good reliability coefficient (Cronbach's Alpha and McDonald's Omega ranging from 0.801 to 0.963). In terms of convergent validity, a strong inverse correlation (Rho = -0.670; p = 0.000) was found between the SRCAA and GAD-7. Conclusion: Based on these statistical findings, the scale demonstrates that it meets the objective of identifying the degree of awareness regarding alcohol consumption and the behavioral changes a person makes to overcome the detrimental habit.

Cyberbullying in high school and university: Description, comparison, and associations between behaviors in victims and aggressors

2025-05-15T02:44:19+00:00

Introduction: Experiences of cyberbullying can have lasting effects on victims' self-esteem, social relationships, and overall well-being. Objective: This study aims to determine the association between cyberbullying behaviors, both as victims and aggressors, in high school and university students, identifying differences and similarities between the two educational contexts. Methods: We conducted a cross-sectional study with 402 participants (203 women and 199 men), including 200 high school students and 202 university students. Both institutions were public and located in urban areas of the State of Mexico's capital. Cyberbullying was assessed using the Cyberbullying Questionnaire, which evaluates multiple forms of cyberbullying. Results: University students were more likely than high school students to engage in cyberbullying as aggressors, with a large effect size. Among high school students, a strong association was observed between being victims of cyberbullying through the spread of secrets and the repeated receipt of disturbing messages (r = .659). In university students, significant co-occurrence of behaviors was identified within the aggressor subscale, revealing associations between grooming, sexting, denigration, exclusion, and happy slapping. Conclusions: These findings underscore the importance of implementing intervention programs in upper secondary and higher education settings, where action protocols are typically less established compared to basic education levels.

Sample, sample size and sampling: a review of current recommendations

2025-05-17T02:59:22+00:00

Introduction: The present review is based on the need to know the current recommendations on the sample, sample size and sampling that are considered in various empirical studies, aspects that certainly can generate confusion especially in novice researchers. In this sense, a theoretical and methodological framework is established that attempts to answer different questions raised on this subject, based on publications in high impact journals, guaranteeing their credibility and suitability. Objective: Provide a guide that offers different views on sample sizes and their practical application for researchers, teachers and students. Method: Theoretical study in the form of a narrative review. Results: Current recommendations revolve around performing power analysis to calculate the sample size, regardless of the type of sampling to be used, in addition to the fact that it is a good practice to be guided by the sample sizes of other studies with similar characteristics, preferably from journals indexed in high-level databases. However, it is necessary to clarify that this work should not be taken as a definitive guide, but that it is the duty of the researcher to be informed of new updates in methodologies that may arise on this subject. Conclusions: The choice of sample size depends on multiple factors that should be carefully analyzed.

The term “Mental” within Mental Health is not Dualist

2025-04-23T05:21:28+00:00

[Letter to the Editor]