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Journal ArticleDOI

Estudio psicométrico y validación de un cuestionario para la evaluación del profesorado universitario de enseñanza a distancia || Psychometric study and validation of a questionnaire for the evaluation of online university lecturers

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TLDR
In this paper, the authors presented the psychometric study of the Questionnaire for the Evaluation of Online University Lecturers (version D), whose purpose is to evaluate the teaching of professors who work online mode, on the basis of the previous considerations of the student.
Abstract
In this paper we present the psychometric study of the Questionnaire for the Evaluation of Online University Lecturers (version D), whose purpose is to evaluate the teaching of professors who work online mode, on the basis of the previous considerations of the student. The questionnaire has been constructed using a combination of qualitative and quantitative methodology. The particularly relevant feature of this scale is that it has been generated from the students' opinion about the characteristics that online lecturers must have in order to be considered a good teacher. In previous works we have presented the procedure that has been used to build the scale; in this we present the psychometric study of the specific questionnaire for online tutors. The sample was selected by random sampling by conglomerates, considering the Campus as a conglomerate. An exploratory factorial analysis (AFE) was carried out and subsequently a confirmatory factorial analysis (CFA). The results indicate that the constructed questionnaire has a high reliability and validity, which makes it a useful and relevant evaluation tool.

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TL;DR: In this paper, the authors carried out a quantitative study to reveal the extent to which university read teacher evaluation surveys when participation incentives are applied, and found that the instruments with Likert scales do not favor the correct reading and completion of surveys when the evaluation introduces rewards.
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A teachers’ orientation approach to understand the university teacher-student relationship

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References
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Journal ArticleDOI

Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI

A rationale and test for the number of factors in factor analysis.

TL;DR: It is suggested that if Guttman's latent-root-one lower bound estimate for the rank of a correlation matrix is accepted as a psychometric upper bound, then the rank for a sample matrix should be estimated by subtracting out the component in the latent roots which can be attributed to sampling error.
Book ChapterDOI

Evaluating Model Fit

Journal ArticleDOI

A comparison of some methodologies for the factor analysis of non‐normal Likert variables

TL;DR: In this paper, a Monte Carlo study is conducted where five prototypical cases of non-normal variables are generated and two normal theory estimators, ML and GLS, are compared to Browne's (1982) ADF estimator.
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