Relationship Maintenance Scale in Young Couples: Validity Evidence and Reliability of a Short Scale in Peru.

Relationship maintenance has shifted from understudied to extensively researched in the past two decades due to its close association with satisfaction. This study aimed to validate the Relationship Maintenance Scale (EMP) in a sample of young adults in Lima. The sample included 899 participants aged 18-25 (Mean = 20.67, SD = 2.54); 690 females (76.80%) and 209 males (23.20%), all in relationships of at least three months (Mean = 22.05, SD = 19.95). Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used to determine the EMP's structure, with Omega coefficient (ω) estimating reliability. Results indicated a four-factor structure for EMP, removing items 8, 9, 12, and 14, demonstrating good fit (SRMR = .043; CFI = .977; TLI = .971; RMSEA = .058). EMP showed acceptable reliability across factors: Companionship (ω = .78), Affectivity (ω = .83), Complementarity (ω = .77), and Shared interaction (ω = .70), with the latter being less stable. EMP correlated as expected with relationship satisfaction (r ≥ .50). In conclusion, EMP is a valid and reliable instrument for future Spanish studies, with further research on psychometric properties recommended.

New Psychometric Evidence of the Grief Impairment Scale (GIS) in People Who Have Experienced the Death of a Loved One From a Network Psychometric Approach in Two Latin American Countries.

This study aimed to evaluate the psychometric properties of the Grief Impairment Scale (GIS) using a network psychometric model. A total of 1048 individuals from Peru and El Salvador participated. A network psychometric model was used to determine internal structure, reliability, and cross-country invariance. The results indicate that the GIS items were grouped into a single network structure through Exploratory Graph Analysis. Reliability was estimated by structural consistency, and it was found that when replicating the network structure within an empirical dimension, a single network structure was consistently obtained, and all items remained stable. Furthermore, the network structure was invariant, thus functioning similarly across the different country groups. In conclusion, the GIS presented solid psychometric evidence of validity based on its internal structure, reliability, and cross-country invariance. Therefore, the GIS is a psychometrically sound measure of functional impairment symptoms due to grief for Peruvian and Salvadoran individuals.

Relationship Satisfaction in Young Couples: Evidence for Validity of Short Scale Combining CFA and IRT.

This study aimed to validate a short relationship satisfaction scale (RAS) in a sample of young people and adults in the Lima metropolitan area. There were a total of 806 participants aged between 18 and 30 years: 622 females (77.20%) and 184 males (22.80%). Every participant was currently in a love relationship of a minimum of three months. The methodologies of Confirmatory Factor Analysis (CFA) and Item Response Theory (IRT) were combined to determine the structure and assess the reliability of the instrument. The Omega coefficient (ω) was used from CFA, while the test information function and empirical reliability (rxx) were used from IRT. The results showed that the RAS could be interpreted as a one-dimensional scale when eliminating the items 4-7 and joining the items 1-2. This model shows high goodness of fit from a CFA-perspective. A similar situation occurs in IRT, except that error covariance is not considered. Nevertheless, assuming the elimination of items 4-7 is still a good option. The reliability in both CFA (ω = .838) and IRT (rxx = .862) was satisfactory. The evidence of relationship with other variable showed inverse and big relationship with violent spells of tension and difficulty.

Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries.

The present study examined how conspiracy beliefs about COVID-19 vaccines specifically relate to symptoms of fear of COVID-19 in a sample of four South American countries. A total of 1785 people from Bolivia, Colombia, Ecuador, and Peru participated, responding to a sociodemographic survey, the Fear of COVID-19 scale (FCV-19 S) and the Vaccine Conspiracy Beliefs Scale-COVID-19 (VCBS-COVID-19). Network analysis identified the most important symptoms of fear and conspiracy beliefs about COVID-19 vaccines (nodes) and the associations between them (edges). In addition, the robustness of the network of these indicators of centrality and the possible differences in the structure and connectivity of the networks between the four countries were evaluated. The results suggest that the nodes with the highest centrality were items 2 and 5 of the FCV-19 S and item 2 of the VCBS-COVID-19. Likewise, item 6 is the belief that most predicts conspiracy beliefs about vaccines against COVID-19; while item 6 was the symptom that most predicts fear of COVID-19. The findings strongly support cross-cultural similarities in the networks across the four countries rather than differences. Although it was expected that a higher presence of symptoms of fear of COVID-19 may lead people to compensate for their fear by believing in conspiratorial ideas about vaccines and, consequently, rejecting the COVID-19 vaccine, the results do not clearly show this relationship. This could lead other researchers to generate evidence to explain the differences between Latin American countries and countries in other contexts in terms of vaccination rates. This evidence could be useful to develop policies favoring vaccination against COVID-19 that are more contextualized to the Latin American region, characterized by social instability and economic recession during the pandemic.

Factorial validity and invariance analysis of the five items version of Mindful Awareness Attention Scale in older adults.

Objective: Mindfulness or the full attention state is a factor that contributes to the successful process of aging. This study aims to evaluate the evidence of validity, on the basis of the internal structure, convergent and discriminant validity, reliability and factorial invariance across gender, for the five items Mindful Attention Awareness Scale (MAAS-5) within a sample of older adults.Methods: The participants were 323 Peruvian older adults, consisting of 160 women and 163 men, whose average ages were 68.58 (S.D = 7.23) and 68.91 years (S.D = 7.12), respectively. In addition to the MAAS-5, the Satisfaction with Life Scale and the Patient Health Questionnaire-2 were administered.Results: The Confirmatory Factor Analysis indicates that the one-factor structure of the MAAS-5 presents adequate fit for the total sample (χ2 = 11.24, df = 5, χ2/df = 2.25, CFI = .99, RMSEA = .06 [90%CI: .01, .11]; and SRMR = .025), as well as for the sub-samples of men and women. This one-factor solution presents adequate internal consistency (ω = 80 [95%CI: .76 - .82]) and it is invariant across gender. Regarding convergent validity, high scores in the MAAS are associated with a greater satisfaction with life (r = .88, p< .01 [95%CI: .85, .95]) and less depression (r = -.56, p< .01 [95%CI: -.48, -.77]) in older adults.Conclusions: The preliminary results back the use of the MAAS-5 as a self-report measure of mindfulness that has an adequate unifactorial structure that is reliable and invariant across gender for measuring the full attention state in elderly Peruvians.

Measurement Invariance of the Brief Resilient Coping Scale (BRCS) in Peruvian and Spanish Older Adults.

Although the Brief Resilient Coping Scale (BRCS) has been validated in some European and American countries, there are no studies that evaluate its factorial invariance among different nations. In this sense, the objective of the study is to evaluate the factorial invariance of the BRCS in samples of older adults in Peru and Spain, using multigroup Confirmatory Factor Analysis. 236 older adults from Peru participated (Mean age = 72.8, SD = 6.90) and 133 older adults from Spain (Mean age = 71, SD = 7). In the Peruvian sample 78.4% were women and 21.6% men; while in the Spanish sample the majority were women (69.9%). The BRCS was scalar invariant but not strictly invariant between Spain and Peru. Our results found invariance of the structure, factor loadings and intercepts in both countries. These results support the use of BRCS in studies that compare the resilience between samples of older adults in both countries, and encourage applied research for the development of resilience in older adults in Spain and Peru.

Is this the end for Cronbach's alpha? / ¿Es el final del alfa de Cronbach?

Letter to the editor.

Carta al editor.

Confidence Intervals for Omega Coefficient: Proposal for Calculus. / Intervalos de confianza para coeficiente Omega: Propuesta para el cálculo.

La confiabilidad es entendida como una propiedad métrica de las puntuaciones de un instrumento de medida. Recientemente se viene utilizando el coeficiente omega (ω) para la estimación de la confiabilidad. No obstante, la medición nunca es exacta por la influencia del error aleatorio, por esa razón es necesario calcular y reportar el intervalo de confianza (IC) que permite encontrar en valor verdadero en un rango de medida. En ese contexto, el artículo plantea una forma de estimar el IC mediante el método de bootstrap para facilitar este procedimiento se brindan códigos de R (un software de acceso libre) para que puedan realizarse los cálculos de una forma amigable. Se espera que el artículo sirva de ayuda a los investigadores de ámbito de salud.

La confiabilidad es entendida como una propiedad métrica de las puntuaciones de un instrumento de medida. Recientemente se viene utilizando el coeficiente omega (ω) para la estimación de la confiabilidad. No obstante, la medición nunca es exacta por la influencia del error aleatorio, por esa razón es necesario calcular y reportar el intervalo de confianza (IC) que permite encontrar en valor verdadero en un rango de medida. En ese contexto, el artículo plantea una forma de estimar el IC mediante el método de bootstrap para facilitar este procedimiento se brindan códigos de R (un software de acceso libre) para que puedan realizarse los cálculos de una forma amigable. Se espera que el artículo sirva de ayuda a los investigadores de ámbito de salud.

Network analysis of pandemic fatigue symptoms in samples from five South American countries.

BACKGROUND: Pandemic fatigue generates low motivation or the ability to comply with protective behaviors to mitigate the spread of COVID-19. AIMS: This study aimed to analyze the symptoms of pandemic fatigue through network analysis in individuals from five South American countries. METHOD: A total of 1,444 individuals from Argentina, Bolivia, Paraguay, Peru, and Uruguay participated and were evaluated using the Pandemic Fatigue Scale. The networks were estimated using the ggmModSelect estimation method and a polychoric correlation matrix was used. Stability assessment of the five networks was performed using the nonparametric resampling method based on the case bootstrap type. For the estimation of network centrality, a metric based on node strength was used, whereas network comparison was performed using a permutation-based approach. RESULTS: The results showed that the relationships between pandemic fatigue symptoms were strongest in the demotivation dimension. Variability in the centrality of pandemic fatigue symptoms was observed among participating countries. Finally, symptom networks were invariant and almost identical across participating countries. CONCLUSIONS: This study is the first to provide information on how pandemic fatigue symptoms were related during the COVID-19 pandemic.

Pandemic Grief and Suicidal Ideation in Latin American Countries: A Network Analysis.

This study aimed to characterize the network structure of pandemic grief symptoms and suicidal ideation in 2174 people from eight Latin American countries. Pandemic grief and suicidal ideation were measured using the Pandemic Grief Scale and a single item, respectively. Network analysis provides an in-depth characterization of symptom-symptom interactions within mental disorders. The results indicated that, "desire to die," "apathy" and "absence of sense of life" are the most central symptoms in a pandemic grief symptom network; therefore, these symptoms could be focal elements for preventive and treatment efforts. Suicidal ideation, the wish to die, and the absence of meaning in life had the strongest relationship. In general, the network structure did not differ among the participating countries. It identifies specific symptoms within the network that may increase the likelihood of their co-occurrence and is useful at the therapeutic level.

Love, jealousy, satisfaction and violence in young couples: A network analysis.

In recent years, couples have been affected by health measures related to COVID-19, a circumstance that forces us to examine couple interactions in terms of crucial variables of their functioning. In this sense, the present study aimed to examine the association between love, jealousy, satisfaction, and violence in young couples through network analysis. A total of 834 young people and adults between 18 and 38 years of age (Mean = 20.97, SD = 2.39) participated; 646 women (77.50%) and 188 men (22.50%), who completed the Sternberg's love scale (STLS-R), Brief Jealousy Scale (BJS), Relationship Assessment Scale (RAS) and Woman Abuse Screening Tool (WAST-2). A partial unregularized network was estimated using the ggmModSelect function. The Bridge Strength index was calculated because the aim was to identify the bridge nodes between the variables under study. The results reveal that two nodes of the love variable, Commitment, and Intimacy, had a direct and moderate relationship with the Satisfaction node. The latter is the central node in the network. However, in the male group, the most intense associations are in Satisfaction-Intimacy, Violence-Passion, Jealousy-Commitment. It is concluded that there are relevant connections between the nodes of the network, which invite further research on couple relationships after the COVID-19 pandemic.

The effect of normality and outliers on bivariate correlation coefficients in psychology: A Monte Carlo simulation.

This study aims to examine the effects of the underlying population distribution (normal, non-normal) and OLs on the magnitude of Pearson, Spearman and Pearson Winzorized correlation coefficients through Monte Carlo simulation. The study is conducted using Monte Carlo simulation methodology, with sample sizes of 50, 100, 250, 250, 500 and 1000 observations. Each, underlying population correlations of 0.12, 0.20, 0.31 and 0.50 under conditions of bivariate Normality, bivariate Normality with Outliers (discordant, contaminants) and Non-normal with different values of skewness and kurtosis. The results show that outliers have a greater effect compared to the data distributions; specifically, a substantial effect occurs in Pearson and a smaller one in Spearman and Pearson Winzorized. Additionally, the outliers are shown to have an impact on the assessment of bivariate normality using Mardia's test and problems with decisions based on skewness and kurtosis for univariate normality. Implications of the results obtained are discussed.

Maintenance in relationships, satisfaction, jealousy, and violence in young couples: a network analysis.

BACKGROUND: The study explores the associations among Relationship Maintenance, Satisfaction, Jealousy, and Violence in young Peruvian couples, particularly in a post-pandemic context, using a network analysis. METHODS: Eight hundred thirty-two participants aged 18-30 (M = 20.94, SD = 2.29), with 645 females (77.50%) and 187 males (22.50%), were involved. The study aimed to discern relationships among network nodes, emphasizing the link between Relationship Maintenance dimensions and Jealousy and Violence. The research also sought the central node in the network and examined gender-specific node connections, using the SMOTE algorithm for gender data balance. RESULTS: Findings revealed a direct connection between Complementarity and Jealousy, implying intense shared interests can lead to unhealthy dependence. An inverse relationship was seen between Companionship and Violence. Satisfaction was pivotal, showcasing its importance in romantic relationship success. Additionally, the study shows men prioritize Companionship and Sharing, possibly due to cultural norms, while women focus on the Companionship-Complementarity bond, indicating mutual support. CONCLUSIONS: The research emphasizes the critical role of maintenance variables in determining Satisfaction, Jealousy, and Violence in relationships. The pandemic's influence on romantic dynamics is evident, emphasizing the importance of Satisfaction. Future studies should focus on gender equity and further explore these relationships.

Validation of the De Jong Gierveld Loneliness Scale in Peruvian old adults: a study based on SEM and IRT multidimensional models.

Loneliness is a public health problem. Its assessment is important to identify older adults who experience greater loneliness and appropriate interventions can be carried out. The De Jong Gierveld Solitude Scale (DJGLS) is one of the most widely used, at least in the European context, to measure loneliness. Although the Spanish version of the DJGLS has shown reliability and validity in Spanish samples of older adults, there is no evidence of adequacy in the Latin American context. Therefore, this study aims to evaluate the psychometric properties of the DJGLS in Peruvian older adults. Specifically, factorial validity, internal consistency and criterion-related validity were studied, based on a double analytical perspective: Classical Test Theory (SEM models) and Item Response Theory. The participants were 235 Peruvian older adults with ages ranging from 61 to 91 years old (Mean = 72.69, SD = 6.68) that assisted to Centers for the Elderly in the city of Trujillo, Peru. Together with the DJGLS, information from the three-item UCLA loneliness scale, Satisfaction with Life Scale, Brief Resilient Coping Scale and the Patient Health Questionnarie-2 was also gathered. The results support a one-dimensional structure of the DJGLS but with the presence of method effects associated to the negatively worded items. Additionally, the IRT multidimensional model applied also indicated the presence of a second dimension related to these negative items. Finally, other evidences of reliability and validity were adequate. In summary, the DJGLS may be considered a reliable and valid instrument to be used in the Peruvian (older adults) context.

Intention to receive the monkeypox vaccine and its psychological and sociodemographic predictors: a cross-sectional survey in the general population of Peru.

OBJECTIVE: The objective of this study was to identify predictors of intention to be vaccinated against Monkeypox (Mpox) in a sample of Peruvian citizens.  METHODS: A set of sociodemographic and psychological predictors were used, such as sex, sexual orientation, educational level, previous diagnosis of COVID-19, marital status, complete vaccination against COVID-19, employment status, living with vulnerable people, presence of chronic disease, area of residence, perceived usefulness of COVID-19 vaccines, fear of Mpox, conspiracy beliefs about Mpox, among others. A total of 472 Peruvian adults participated, selected by non-probabilistic snowball convenience sampling. A sociodemographic survey, the Mpox Fear Scale, was used. Conspiracy Beliefs about Mpox was assessed using three questions created specifically for this study. For inferential purposes, simple ordinal regressions ("crude models") were performed between each factor and the outcome.  RESULTS: Regarding their intention to be vaccinated against Mpox, more than 60% expressed clear approval. Being non-heterosexual, having greater emotional fear of Mpox, and perceiving some potential for this disease to become the next pandemic were related to greater intention to vaccinate. On the other hand, being older, having low perceived usefulness of COVID-19 vaccines, and having higher conspiracy beliefs about Mpox were associated with lower intention to vaccinate.  CONCLUSION: The study provides initial information for future research seeking to better analyze Mpox vaccination intention. In addition, cross-sectional data are provided that can be used to develop public health policies that target subgroups with low prevalence of intention to vaccinate against Mpox.