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Revista Lasallista de Investigación

versão impressa ISSN 1794-4449

Resumo

CALDERON-CISNEROS, Juan; ORTIZ-CHIMBO, Karla Maribel  e  ALCIVAR-TREJO, Carlos. Exploratory factorial analysis as a multivariate method for the validation of academic data in virtual platforms. Rev. Lasallista Investig. [online]. 2018, vol.15, n.2, pp.10-19. ISSN 1794-4449.  https://doi.org/10.22507/rli.v15n2a1.

Introduction:

The work is established as a result of research in which a bibliographic review is made on the subject matter proposed.

Objective:

Characterize the class materials used by two universities, one public and one private for the identification of types of technologies.

Materials and Method:

The study is considered non-experimental and it is expected that all students enrolled in the first semester of 2017 will participate, complying with the inclusion criteria: a) minimum age of 18; b) enrolled in their respective universities; The pilot random sample contained 98 participants out of a total of 2150 students from the two universities.

Results:

Through the application of several statistical techniques such as the analysis: Exploratory Factorial, classic Cronbach's alpha. The behavior of the responses to the 21-item questionnaire, which has a Likert-type scale format, was analyzed, defined in 4 dimensions. The absence of statistically significant differences was verified in three items of the study.

Conclusions:

The validity and reliability of this questionnaire was analyzed through a factorial analysis of principal components with Varimax rotation. It is concluded that it would be enough to introduce adaptations in the list of dimensions proposed in this questionnaire that took into account the specificities of each study material.

Palavras-chave : Online Education; Evaluation, Exploratory Factorial, Cronbach's Alpha.

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