This data article describes the dataset of the International COVID-19 Impact on Parental Engagement Study (ICIPES). ICIPES is a collaborative effort of more than 20 institutions to investigate the ways in which, parents and caregivers built capacity engaged with children's learning during the period of social distancing arising from global COVID-19 pandemic. A series of data were collected using an online survey conducted in 23 countries and had a total sample of 4,658 parents/caregivers. The description of the data contained in this article is divided into two main parts. The first part is a descriptive analysis of all the items included in the survey and was performed using tables and figures. The second part refers to the construction of scales. Three scales were constructed and included in the dataset: ‘parental acceptance and confidence in the use of technology’, ‘parental engagement in children's learning’ and ‘socioeconomic status’. The scales were created using Confirmatory Factor Analysis (CFA) and Multi-Group Confirmatory Analysis (MG-CFA) and were adopted to evaluate their cross-cultural comparability (i.e., measurement invariance) across countries and within sub-groups. This dataset will be relevant for researchers in different fields, particularly for those interested in international comparative education.

El objetivo del presente trabajo es validar un test para la orientación vocacional elaborado por la Universidad Pedagógica Nacional Francisco Morazán de Honduras para ayudar a quienes aspiran a ingresar a dicha universidad en su elección de una carrera. El test original consta de 160 ítems estilo Likert, los cuales permiten medir la vocación en 16 de las carreras que brinda la universidad. Se realizó un análisis factorial exploratorio mediante el programa Factor 10, utilizando la matriz de correlaciones policóricas para el análisis, el método de mínimos cuadrados ponderados como método de extracción de los factores y Promin como método de rotación, con lo cual se identificaron ocho factores (GFI=0.99 y RMRS=0.029). Posteriormente, se realizó un análisis de los ítems en el contexto de la teoría clásica de test, mediante SPSS 23, y de la teoría de respuesta al ítem, mediante IRTPro 4, para cada una de las subescalas (o factores); revelándose problemas de dependencia local y baja discriminación para algunos ítems. Posteriormente, tomando en cuenta los resultados anteriores, se redujo el número de ítems por escala y se procedió a realizar un análisis factorial confirmatorio mediante MPlus 7 utilizando la matriz de correlaciones policóricas, para el análisis, y el método de mínimos cuadrados ponderados con media y varianza ajustada, el cual reveló que el test de 8 subescalas (39 ítems) es adecuado (RMSEA=0.046; CFI=0.971; TLI=0.969) y que brinda información acerca de la vocación de los aspirantes; no obstante los índices de ajuste sugieren la necesidad de mejoras.

OBJECTIVE: To determine the epidemiological characteristics of deaths from COVID-19 in Peru from March 28 to May 21, 2020, 85 days after the report of the first confirmed case. MATERIAL AND METHODS: Case series type study. Deaths from various sources were investigated, including the COVID-19 Epidemiological Surveillance and the National System of Deaths. Deaths that met the definition of a confirmed case and had a positive (reactive) result of RT-PCR or rapid test were considered for the analysis. From these sources, epidemiological variables were obtained and a time analysis was performed, defining as the pre-hospital time the time from the onset of symptoms to the date of hospitalization and hospital time from the date of hospitalization to the date of death. RESULTS: 3,244 confirmed deaths were included in the study. Deaths were more frequent in males (71.8%), elders (68.3%), residents of the department of Lima (41.8%), and others from the coast (37.7%). In 81.3% of cases, the death occurred in a public hospital, 16.0% died at home, shelter, penitentiary institution, public highway, or in transit to a hospital, and 31.1% had some comorbidity. Statistical difference was observed in pre-hospital time according to age group (p <0.001) and gender (p = 0.037), being significantly higher in adults, elders, and women. There was a statistically significant difference in hospital time according to geographic area, showing a significantly shorter time in the departments of the coast (p <0.001) and Andean region (p = 0.014) compared to Lima. The cases that were seen in private clinics (p = 0.001) survived longer than those seen in public hospitals. CONCLUSION: Deaths from COVID-19 occur mainly in male, elders, on the coast, with considerable deaths at home, in shelters, penitentiaries, public roads, or in transit to a hospital. Pre-hospital time is affected by age group and gender; while, hospital time is also influenced by the region of origin and the health care provider. KEYWORDS: Coronavirus, COVID-19, deaths, epidemiology, Peru.

Esta investigación tuvo como propósito estudiar el impacto de un curso propedéutico de matemáticas en el rendimiento académico de los estudiantes y en la eficiencia (porcentajes de aprobación, reprobación y abandono) del curso inicial de matemáticas, FFM1301, así como el impacto en el desarrollo de la habilidad numérica y la capacidad para resolver problemas. Se diseñaron dos estudios cuasi experimentales y uno relacional: el primero fue de tipo grupo de estudio y grupo control, el segundo sigue el diseño de pretest y postest y el tercero es una prueba de asociación de variables. Se encontró que el curso propedéutico tiene un impacto favorable en todas las variables estudiadas: el rendimiento académico promedio en FFM1301 del grupo de estudio es estadísticamente igual al del grupo control, los indicadores de eficiencia en FFM1301 fueron más favorables al grupo de estudio, y se observó un incremento estadísticamente significativo en la habilidad numérica y en la capacidad para resolver problemas.