Showing 4 results for Hernández
Volume 0, Issue 0 (9-2025)
Abstract
Orchid bees (Hymenoptera, Apidae, Euglossini) play a vital role as key pollinators in the Neotropical forests. Their preference for forested areas makes these bees more susceptible to environmental changes, particularly in areas under severe human impact, such as the Chocó-Darien biodiversity hotspot. This study presents new data on orchid bees within the Canandé Biological Reserve, a lowland rainforest in the Chocó region of northwestern Ecuador. At this site, four species of orchid bees were recorded for the first time in Ecuador: Euglossa bursigera Moure, 1970, Euglossa crassipunctata Moure, 1968, Euglossa villosiventris Moure, 1968 and Eufriesea macroglossa (Moure, 1965). We also provide species-specific information on diagnosis, distribution maps, and high-resolution images. With these records, the total number of orchid bee species recorded in Ecuador now stands at 119.
J. Cjuno , N. Velasquez , E. Bazan-Palomino , R. Carranza, R.m. Hernández,
Volume 9, Issue 5 (Special Issue 2021)
Abstract
Aims: The use of WhatsApp can develop autonomous learning, however, there are still no tools that can measure it. This study was performed with the aim to analyze the psychometric properties of the Abbreviated Scale of Autonomous Learning with the use of WhatsApp in Peruvian university students.
Materials & Methods: In this instrumental study, in a non-probabilistic sample (n=411) of students, An exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and reliability were estimated.
Findings: The statistics report that the AFE are acceptable and significant KMO (0.816) and Bartlett's test (1431.09; gl=6; p=0.0001). Robust analyses (χ2=24.180; p=0.0001; TLI=0.955; CFI=0.998; GFI=0.998; AGFI=0.994, and RMSR=0.043), show that the unidimensional structure acceptable and reported an internal consistency of 0.932.
Conclusion: The EBAA-4 is valid and reliable. Therefore, its use is recommended for university students.
E.j. Ruiz-Guaranda , M.a. Saavedra-López , M. X.m. Calle-Ramírez , R.m. Hernández , G.a. Ezcurra-Zavaleta, M. Rojas-Pisfil, G.e. Imán-Tineo,
Volume 12, Issue 1 (Winter 2024)
Abstract
Aims: Cyber victimization can generate a series of negative effects on the mental, physical, and social health of those affected, triggering anxiety, depression, and other emotional problems. The aim of the study was to determine the relationship between cyber victimization and depression in high school students in the province of Tumbes, located in northern Peru.
Instrument & Methods: The sample of this non-experimental, cross-sectional, and quantitative study consisted of 372 high school students between 11 and 18 years of age. The Cyber Victimization Questionnaire (CBV) was used as an instrument, obtaining a Cronbach's Alpha reliability of 0.902 in a pilot test. The Beck Depression Inventory-II was also used, with a Cronbach's Alpha reliability of 0.921.
Findings: Using Spearman's Rho correlation method, there was a significant and positive relationship between cyber victimization and depression (two-sided p-value=0.0001). Likewise, the linear regression model showed that cyber victimization was a significant predictor of depression to a degree of 32.2% (R2=0.322; p-value =0.0001).
Conclusion: Cyber victimization is significantly related to and predictive of depression.
Volume 16, Issue 1 (March & April (Articles in English & French) 2025)
Abstract
This study aims to analyze the factors associated with motivation and attitude towards English learning through the application of structural equation modeling (SEM). A quantitative, ex post fact, cross-sectional and explanatory study was carried out on 1202 university students. Eight motivational factors were examined, namely: Motivational Intensity (MI), Attitude towards Learning English (ATLL), Integrative Orientation (IntO), Instrumental Orientation (InsO), Interest Towards Foreign Languages (ITFL), Evaluation of English Teaching (EET), Desire to Learn English (DLE), Evaluation of the English Course (EEC). The multiple regressions showed that EET, DLE, InsO, and EEC are predictors of the MI. It was found that DLE, InsO, and EEC are predictors of ATLL. The SEM showed a weak positive influence of InsO on DLE, ITFL, EET, EEC, MI and ATLL. IntO had a weak positive impact on DLE, EET, EEC, and ITFL. There was a weak positive impact of DLE on ITFL, ATLL and MI, and it had a strong effect on EEC. Finally, EET had a weak positive effect on MI, whereas EEC had a weak positive impact on ATTL and MI. This research provided information that serves to understand the factors affecting the intensity of motivation and attitude in L2 learning
