Gender differences in sexual satisfaction through network analysis in young cisgender peruvians.

Gender differences related to sexual satisfaction (SS) have been discussed for decades. However, these subtle differences in SS indicators and their associations have not been fully understood. This study aims to analyze differences in the network structures of the items of an SS scale between men and women.

Prediction of the End of a Romantic Relationship in Peruvian Youth and Adults: A Machine Learning Approach.

This study explores the effectiveness of machine learning models in predicting the end of romantic relationships among Peruvian youth and adults, considering various socioeconomic and personal attributes. The study implements logistic regression, gradient boosting, support vector machines, and decision trees on SMOTE-balanced data using a sample of 429 individuals to improve model robustness and accuracy. Using stratified random sampling, the data is split into training (80%) and validation (20%) sets.

A computer tool for Aiken's coefficients calculation: Applications in clinical and research settings.

Rationale: In clinical and research settings, the validity and reliability of measurement instruments are crucial for reliable results. Current methods for computing validation metrics like Aiken's coefficients are often complex and error-prone, highlighting the need for a standardized computational tool to simplify and enhance this process.

Aims And Objectives: The objective of this study was to develop AikenCalc, a tool created to automate the calculation of Aiken coefficients.

The scale of myths of romantic love: Evidence of validity and reliability of a brief scale in Peru.

The study aimed to provide validity evidence and reliability of the Scale of Myths of Romantic Love (SMRL) in Peru among young and adult individuals. Focusing on how romantic love myths affect relationship satisfaction and their ties to interpersonal violence, sexism, and gender inequality, the methodology involved 308 participants, mainly females (75%), using the SMRL and Relationship Assessment Scale. Bayesian Confirmatory Factor Analysis (BCFA) assessed the scale's structure and reliability, complemented by descriptive statistics and correlation analyses to examine the myths' impact on intimate relationships.

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.

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.

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

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.

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.

Cross-cultural invariance of the Spanish version of the COVID-19 Assessment Scorecard to measure the perception of government actions against COVID-19 in Latin America.

Objectives: The present study aimed to evaluate the measurement invariance of a general measure of the perception of governmental responses to COVID-|19 (COVID-SCORE-10) in the general population of 13 Latin American countries.

Methods: A total of 5780 individuals from 13 Latin American and Caribbean countries selected by non-probabilistic snowball sampling participated. A confirmatory factor analysis was performed and the alignment method was used to evaluate invariance.

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.

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.

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.

Anxiety, depression, stress, worry about COVID-19 and fear of loneliness during COVID-19 lockdown in Peru: A network analysis approach.

This study aims to examine the relationships between symptoms of anxiety, depression, stress, worry about COVID-19 and fear of loneliness during COVID-19 lockdown in Peru using network analysis. There were 854 participants aged 18 to 50 years (Mean = 36.54; = 9.

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).

Satisfaction towards virtual courses: Development and validation of a short measure in COVID-19 times.

This study was aimed to develop and validate a short scale to measure satisfaction with virtual courses (SVC-S) in a sample of higher education students during the covid-19 pandemic; specifically, in the year 2021. A total of 3080 students between 16 and 56 years of age participated (Mean = 25.71; = 8.

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.

Design and Cross-Cultural Invariance of the COVID-19 Vaccine Conspiracy Beliefs Scale (COVID-VCBS) in 13 Latin American Countries.

Aims: Over the past 2 years, the vaccine conspiracy beliefs construct has been used in a number of different studies. These publications have assessed the determinants and outcomes of vaccine conspiracy beliefs using, in some cases, pooled data from different countries, and compared the results across these contexts. However, studies often do not consider measurement invariance as a necessary requirement for comparative analyses.

What Is the Support for Conspiracy Beliefs About COVID-19 Vaccines in Latin America? A Prospective Exploratory Study in 13 Countries.

Conspiracy theories about COVID-19 began to emerge immediately after the first news about the disease and threaten to prolong the negative impact of the COVID-19 pandemic by limiting people's willingness of receiving a life-saving vaccine. In this context, this study aimed to explore the variation of conspiracy beliefs regarding COVID-19 and the vaccine against it in 5779 people living in 13 Latin American countries (Argentina, Bolivia, Chile, Colombia, Cuba, Ecuador, El Salvador, Guatemala, Mexico, Paraguay, Peru, Uruguay and Venezuela) according to sociodemographic variables such as gender, age, educational level and source of information about COVID-19. The study was conducted during the COVID-19 pandemic between September 15 and October 25, 2021.

Depression, COVID-19 Anxiety, Subjective Well-being, and Academic Performance in University Students With COVID-19-Infected Relatives: A Network Analysis.

This study aimed to examine the relationship between anxiety, depression, subjective well-being, and academic performance in Peruvian university health science students with COVID-19-infected relatives. Eight hundred two university students aged 17-54 years (Mean 21.83; SD = 5.

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.

Single item to assess for worry for cancer: Initial evidence of validity and reliability.

Objective: To translate into Spanish and evaluate the evidence of content validity, construct validity and reliability of the Cancer Worry Chart as a single item measure of worry for cancer.

Method: The Spanish translation of the Cancer Worry Chart was done with the back-translation procedure. The participants were 165 healthy people with a family history of cancer who responded to the Cancer Worry Chart and the Cancer Worry Scale (CWS).

[Design and validation of a scale to measure worry for contagion of the COVID-19 (PRE-COVID-19)].

Objective: The increase in COVID-19 cases is generating fear and concern in society, which generates an emotional response that influences the adoption of health-related behaviors. The objective of the study is to design and validate the Scale of Worry for Contagion of COVID-19 (PRE-COVID-19).

Method: The study had a descriptive cross-sectional design.