Turpo Chaparro, Josue Edison

Preferred name

Main Affiliation

josuetc@upeu.edu.pe

ORCID

0000-0002-1066-6389

Scopus Author ID

57205291058

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Self-esteem and family satisfaction as predictors of life satisfaction in Peruvian highland university students
(2024-02-27)
Ronald Garnique-Hinostroza
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Odón Helar Huanca Coaquira
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Óscar Mamani-Benito
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Ronald Castillo-Blanco
Objective To determine whether self-esteem and family satisfaction predict life satisfaction in university students from the Peruvian highlands. Methods A cross-sectional, predictive design study with the participation of 848 Peruvian university students of both sexes (31.7% male and 68.3% female) whose ages ranged from 17 to 41 years old ( M = 20.31 and SD = 3.66). The instruments used were Rosenberg’s self-esteem scale (RSE; 2000), Olson’s family satisfaction scale (FSS; 2006) and Diener’s life satisfaction scale (SWLS; 1985). Results Show that the proposed model had a fit of χ 2 (269) = 1709.6, p &lt; 0.001, CFI = 0.957, RMSEA = 0.080, SRMR = 0.061, evidencing that positive self-esteem ( β = 0.21, p &lt; 0.001) and family satisfaction ( β = 0.57, p &lt; 0.001) significantly predict life satisfaction. Unlike negative self-esteem, which does not predict life satisfaction ( β = −0.09, p = 0.003). Conclusion Self-esteem, family satisfaction, life satisfaction, university students, Peru.
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Traducción, validez y fiabilidad de la escala modificada de fatalismo religioso ante la COVID-19 en adultos peruanos
(2020-12-30)
Óscar Mamani-Benito
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Renzo Felipe Carranza Esteban
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Dany Gonzales
Introduccion: La COVID-19 ha generado repercusiones en la forma de practicar la religion, ante ello, un grupo de creyentes demuestra ideas fatalistas en relacion al origen y consecuencias del nuevo coronavirus. Objetivo: Adaptar la Religious Health Fatalism Measure for the African-American Faith Community para el contexto de la COVID-19 en poblacion peruana. Metodos: Estudio instrumental, donde participaron voluntariamente 764 adultos (59,03% mujeres y 40,97% varones) de la costa, sierra y selva peruana. Los items de la Religious Health Fatalism Measure fueron adaptados culturalmente mediante un proceso de cinco pasos: traduccion directa, sintesis de traducciones, traduccion inversa, consolidacion del comite de expertos y prueba piloto. El analisis de datos implico calcular estadisticos descriptivos, ejecutar un Analisis Factorial Confirmatorio y para analizar la bondad de ajuste del modelo original, se utilizo el modelamiento de ecuaciones estructurales. Resultados: Los items de la escala de fatalismo religioso ante la COVID-19 muestran evaluaciones favorables acerca de su claridad, representatividad y relevancia, donde todos los valores V de Aiken fueron estadisticamente significativos y mayores a 0,70. A traves del Analisis Factorial Confirmatorio se evidencio un modelo con nueve items distribuidos en dos factores (RMR = 0,036, GFI = 0,980, AGFI = 0,952, NFI = 0,981, RFI = 0,969, IFI = 0,983, TLI =0,971, CFI = 0,983, RMSEA = 0,079), ademas, la confiabilidad fue aceptable (α > 0,78, IC 95% > 0,78 – 0,81). Conclusiones: La version modificada FAT-RCov19 demuestra evidencias de validez y confiabilidad para medir el fatalismo religioso ante la COVID-19 en adultos peruana.
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Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models
(2023-08-16)
Hasnain Iftikhar
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Aimel Zafar
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Paulo Canas Rodrigues
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Crude oil price forecasting is an important research area in the international bulk commodity market. However, as risk factors diversify, price movements exhibit more complex nonlinear behavior. Hence, this study provides a comprehensive analysis of forecasting Brent crude oil prices by comparing various hybrid combinations of linear and nonlinear time series models. To this end, first, the logarithmic transformation is used to stabilize the variance of the crude oil prices time series; second, the original time series of log crude oil prices is decomposed into two new subseries, such as a long-run trend series and a stochastic series, using the Hodrick–Prescott filter; and third, two linear and two nonlinear time series models are considered to forecast the decomposed subseries. Finally, the forecast results for each subseries are combined to obtain the final day-ahead forecast result. The proposed modeling framework is applied to daily Brent spot prices from 1 January 2013 to 27 December 2022. Six different accuracy metrics, pictorial analysis, and a statistical test are performed to verify the proposed methodology’s performance. The experimental results (accuracy measures, pictorial analysis, and statistical test) show the efficiency and accuracy of the proposed hybrid forecasting methodology. Additionally, our forecasting results are comparatively better than the benchmark models. Finally, we believe that the proposed forecasting method can be used for other complex financial time data to obtain highly efficient and accurate forecasts.
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Evidencias iniciales de validez y confiabilidad en población peruana de una escala de repercusiones en las prácticas religiosas a causa de la COVID-19 (ERPR-Cov19)
(2020-12-30)
Óscar Mamani-Benito
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Renzo Felipe Carranza Esteban
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Juan Alberto Pichén Fernández
Introduccion: La pandemia COVID-19 obliga el aislamiento social y como consecuencia comunidades religiosas no pueden reunirse para sus programas y servicios rutinarios de manera presencial, pero las consecuencias de este cambio en las practicas religiosas son poco estudiadas hasta ahora. Objetivo: Validar la escala de repercusiones en las practicas religiosas a causa de la COVID-19 (ERPR-Cov19). Metodos: Estudio instrumental realizado entre los meses de junio a agosto de 2020, en la Costa, Sierra y Selva del Peru, donde, participaron voluntariamente 534 adultos de ambos sexos. El diseno de la escala se realizo en base a una busqueda bibliografica de indicadores del constructo y para la validacion se desarrollo una primera version, la cual fue evaluada por siete expertos (teologos, medicos y psicologos) que calificaron la relevancia, representatividad y claridad de los items. Los analisis contemplaron la aplicacion de estadisticos descriptivos como media, desviacion estandar, asimetria y curtosis, y, para determinar la estructura interna de la prueba se aplico el Analisis Factorial Exploratorio. Resultados: Los analisis revelaron la existencia de un solo factor que explica el 68,8% de la varianza total de la prueba, con cargas factoriales entre 0,58 y 0,90, donde, el aporte de los items a la escala fue satisfactorio (mayores a 0,30). Los analisis robustos ( X 2 = 52,641; p = 0,001; CFI = 0,964, GFI = 0,994; AGFI = 992, TLI =0,964 y RMSR = 0,058) indicaron que la estructura unidimensional es satisfactoria, ademas, la confiabilidad fue aceptable (α = .93, IC 95% = .91 – .94). Conclusiones: La escala demuestra validez interna y externa, esto indica que el instrumento es valido y confiable para medir repercusiones en las practicas religiosas a causa de la COVID-19, y, puede utilizarse en futuros estudios.
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Relación entre el tecnoestrés y objetivos académicos en universitarios peruanos
(2025-07-01)
Emilyn Verde-Avalos
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José Lívia Segovia
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Since 2020, educational digitalization has highlighted the impact of technostress on the academic goal orientation of Peruvian university students. This phenomenon affects their motivation, engagement, and ability to face educational challenges, emphasizing the importance of analyzing this relationship within the context of increasing digitalization. The study aimed to evaluate the relationship between technostress and academic goal orientation among Peruvian students, considering how technological demands and interpersonal relationships influence their performance. Additionally, it sought to identify strategies to mitigate the negative effects of technostress. A quantitative correlational study was conducted with 885 students using the Technostress Scale (TS4US) and the Academic Goals Orientation Questionnaire (AGOQ). Data were analyzed through statistical methods, including network analysis and a regression model. A significant negative correlation (r = -0.32) was found between technostress and academic goal orientation. Technological demands and dysfunctional interpersonal relationships impacted goals related to learning and personal growth. The regression model explained 12.5% of the variability in goal orientation, highlighting the negative effects of technological skills-demands (B = -0.228) and interpersonal relationships (B = -0.173). It is essential to implement institutional strategies such as psychological support, digital training, and regulation of technology use to create healthy educational environments that enhance academic performance and strengthen orientation toward meaningful goals.
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Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru
(2024-01-01)
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Eddy Salcedo
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Hasnain Iftikhar
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Aimel Zafar
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Murad Khan
<abstract><p>The rise in global ozone levels over the last few decades has harmed human health. This problem exists in several cities throughout South America due to dangerous levels of particulate matter in the air, particularly during the winter season, making it a public health issue. Lima, Peru, is one of the ten cities in South America with the worst levels of air pollution. Thus, efficient and precise modeling and forecasting are critical for ozone concentrations in Lima. The focus is on developing precise forecasting models to anticipate ozone concentrations, providing timely information for adequate public health protection and environmental management. This work used hourly O$ _{3} $ data in metropolitan areas for multi-step-ahead (one-, two-, three-, and seven-day-ahead) O$ _{3} $ forecasts. A multiple linear regression model was used to represent the deterministic portion, and four-time series models, autoregressive, nonparametric autoregressive, autoregressive moving average, and nonlinear neural network autoregressive, were used to describe the stochastic component. The various horizon out-of-sample forecast results for the considered data suggest that the proposed component-based forecasting technique gives a highly consistent, accurate, and efficient gain. This may be expanded to other districts of Lima, different regions of Peru, and even the global level to assess the efficacy of the proposed component-based modeling and forecasting approach. Finally, no analysis has been undertaken using a component-based estimation to forecast ozone concentrations in Lima in a multi-step-ahead manner.</p></abstract>
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APOYO SOCIAL Y EMPATÍA COMO PREDICTORES DE LA SATISFACCIÓN CON LA VIDA EN ESTUDIANTES UNIVERSITARIOS BRASILEROS
(2023-09-20)
Tamara Souza Santos
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Sanny Raquel Huanca Lopéz
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El objetivo de la investigación fue determinar si el apoyo social y la empatía predicen la satisfacción con la vida en estudiantes universitarios brasileros. A través de un muestreo no probabilístico por conveniencia se buscó la participación voluntaria de 374 universitarios brasileros mayores de 18 años de Universidad públicas y privadas. Los cuestionarios aplicados fueron la escala de Apoyo de Social de Zimet, la escala de Empatía Básica (BES) de Jolliffe y Farrington y la Escala de Satisfacción con la vida SWLS por Diener. Los resultados mostraron una relación entre las variables Apoyo social y Empatía con un resultado de 0.217 (p<0.01), relación entre el Apoyo social y la Satisfacción con la vida es de 0.415 (p<0.01). Asimismo, se encontró relación entre empatía en su dimensión Afectivo -0.103 (p<0.05), y en su dimensión Cognitivo 0.104 (p<0.05) con satisfacción con la vida. El análisis de regresión mostró que el 18.9% de la variabilidad de la Satisfacción con la vida es explicado por las variables Apoyo social y Empatía. El resultado del t test, demuestra que las dimensiones de amigos y personas importantes de la variable apoyo social y la dimensión afectiva de la variable empatía son significativas y tiene un efecto importante para la variable criterio que es la Satisfacción con la vida. Se concluye que el apoyo social y la empatía son predictores de la satisfacción con la vida con estudiantes universitarios brasileros. Esto indica la importancia de desarrollar programa de intervención del apoyo social para mejorar la satisfacción con la vida en los estudiantes.
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Work Motivation and Internal Marketing as Predictors of Satisfaction with Life in Peruvian Workers in the Sales Area
(2024-01-05)
Saúl Fernández
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Sanny Raquel Huanca-López
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Daniel Alejos-Moreno
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Marcos E. Flores-Gonzáles
During the days of the health emergency caused by COVID-19, sales workers faced different challenges as they had to adapt to new work strategies, affecting their perception of life satisfaction. The purpose of this study was to analyze whether work motivation and internal marketing predict life satisfaction in Peruvian workers in the sales area of the Home and Health Educational Service. As a method of study, the predictive cross-sectional study was considered, with the participation of 525 Peruvian workers from the sales area of the Home and Health Educational Service of the Coast, Sierra and jungle between 18 and 50 years of age. For the collection of information, the Internal Marketing Scale, Work Motivation Scale and Life Satisfaction Scale were used as instruments. A correlation and multiple linear regression analysis were performed. In this sense, the results indicate that the findings show that internal marketing, work motivation and life satisfaction are directly and significantly related. Finally, it can be concluded that internal marketing and work motivation predict life satisfaction in Peruvian workers in the sales area of the Home and Health Educational Service.  Received: 10 June 2023 / Accepted: 10 December 2023 / Published: 5 January 2024
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Spiritual care for patients with COVID-19 in intensive care: implications for nursing care, a qualitative study.
(2023-09-05)
María José García Cabanillas
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Delia Luz León-Castro
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Yolanda Rodríguez Núñez
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Mónica Elisa Meneses-La-Riva
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Wilter C. Morales-García
Base de datos de estudio cualitativo.
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Design and validation of the Brand Personality Scale in Tourist Destinations
(2022-04-01)
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Karla Liliana Haro Zea
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Edison Effer Apaza Tarqui
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The new modality caused by COVID-19 has significantly affected tourism, from the decrease in demand and the deterioration of facilities due to lack of budget to the point of becoming unattractive. In response to this, the objective of this research work is to design and validate a scale to measure Brand Personality in Tourist Destinations (BPTD). The results were structured in three phases. In the first phase, an exhaustive search of the bibliography and first version of the instrument were generated. Moreover, a panel of 12 professionals between academics and managers was held, who evaluated the features and content validation by a panel of 7 experts. In the second phase, data collection was carried out with the participation of 998 tourists. In the third phase, exploratory and confirmatory factor analysis was carried out, obtaining a KMO of 0.979 and a p-value of 0.000. The total explained variance of the 21 items grouped in three dimensions represents 87.27%. In the confirmatory analysis, χ2 = 921.57, p = 0.000, RMR = 0.069, GFI = 0.917, AGFI = 0.829, CFI = 0.980, TLI = 0.976, NFI = 0.975, IFI = 0.980 and RMSA = 0.065, with an appropriate internal consistency (performance: α = 0.984; social innovation α = 0.982; honesty α = 0.964). Composite reliability was CR &amp;gt; 0.70 and convergent validity was AVE &amp;gt; 0.5. In conclusion, the values imply an acceptable adjustment, for which the model is adequate, and the scale is valid to be applied in tourism.

Turpo Chaparro, Josue Edison

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