Exploratory Factorial Model of Collaboration in the Covid-19 Era

Cruz García Lirios
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Abstract

The pandemic impacted the educational systems through anti-COVID-19 policies that are based on the distancing and confinement of people. In this sense, academic collaboration has been reported by the literature from 2019 to 2022 as an asynchronous Internet user strategy. It is a dual factorial structure that explains entrepreneurship and innovation, but does not anticipate scenarios of high risk and intensive use of Internet technologies, devices and networks in synchronous or asynchronous mode. Therefore, the objective of the study was to establish an explanatory model of the impact of the pandemic on academic collaboration. A cross-sectional, psychometric and exploratory study was carried out with a sample of 177 women from a municipality in central Mexico, considering their participation in social services and professional practices. A structure of four factors was found: Internet user, face-to-face, synchronous and asynchronous, which explained the total variance. In reference to the state of the art that exalts a two-factor model, its extension is recommended to anticipate scenarios of increasing risk.
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新冠肺炎时代协作的探索性因子模型
大流行通过基于隔离和隔离的抗covid -19政策影响了教育系统。在这个意义上,从2019年到2022年,学术合作被文献报道为一种异步互联网用户战略。它是一个双因子结构,解释了创业和创新,但没有预测到高风险和密集使用互联网技术、设备和网络的同步或异步模式。因此,本研究的目的是建立大流行对学术合作影响的解释模型。对来自墨西哥中部一个城市的177名妇女进行了横断面、心理测量和探索性研究,考虑了她们参与社会服务和专业实践的情况。研究发现,网络用户、面对面、同步和非同步四个因素构成了总体方差结构。考虑到推崇双因素模型的技术水平,建议将其扩展到预测风险增加的情景。
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