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      Perceptions about accreditation and quality management in higher education. Development of a spanish-language questionnaire with a sample of academics from a private university Translated title: Percepciones acerca de la acreditación y la gestión de la calidad en la educación superior. Desarrollo de un cuestionario en castellano con una muestra de académicos de una universidad privada

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          Abstract

          Abstract Quality improvement policies occupy a central place in higher education and represent important requirements for educational institutions in a globalized economy, and quality- related processes legitimacy is enhanced by the participation of academic community. Therefore, the purpose of this study is to develop and validate a Spanish-language scale intended to assess perceptions about the accreditation process and the quality management in Higher Education Institutions. Based on prior findings, and using a one-time, cross-sectional design, 339 academics across four Chilean major academic cities were surveyed. Using structural equation modeling, two solutions with adequate fit indices were found: a four-factor solution comprised of Institutional relevance of accreditation, Objectivity of accreditation evaluation, Internal Quality Unit relevance for accreditation, Value of accreditation to educational system, as main constructs, and a six-factors solution, which included two additional constructs, i.e., Continuous Quality Management value and Students’ participation value. The questionnaire developed in our research allows higher education institutions to objectively assess and quantify the benefits of quality management and accreditation. Its results are particularly pertinent for countries with Spanish as an official language, taking into account the importance of internationalization of higher education.

          Translated abstract

          Resumen Las políticas de mejoramiento de la calidad ocupan un lugar central en la educación superior y representan requisitos importantes para las instituciones educativas en una economía globalizada, en tanto que la legitimidad de los procesos relacionados con la calidad se ve reforzada por la participación de la comunidad académica. En consecuencia, el propósito de este estudio es desarrollar y validar una escala en castellano destinada a evaluar las percepciones sobre el proceso de acreditación y la gestión de la calidad en las Instituciones de Educación Superior. En base a hallazgos anteriores, y utilizando un diseño transversal en un solo momento en el tiempo, se encuestaron 339 académicos en cuatro ciudades académicas importantes de Chile. Utilizando el modelado de ecuaciones estructurales, se encontraron dos soluciones con índices de ajuste adecuados: una solución de cuatro factores que incluye Relevancia institucional de la Acreditación, Objetividad de la evaluación de acreditación, Relevancia de la Unidad de Calidad Interna para la acreditación, Valor de la acreditación para el sistema educativo, como principales constructos, y una solución de seis factores, que incluyó dos constructos adicionales: el Valor de la gestión continua de la Calidad y el Valor de la participación de los Estudiantes. El cuestionario desarrollado en nuestra investigación, permite a las instituciones de educación superior evaluar y cuantificar objetivamente los beneficios de la gestión de la calidad y la acreditación. Sus resultados son particularmente pertinentes para países con el castellano como lengua oficial considerando la importancia de la internacionalización de la educación superior.

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              Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares.

              In confirmatory factor analysis (CFA), the use of maximum likelihood (ML) assumes that the observed indicators follow a continuous and multivariate normal distribution, which is not appropriate for ordinal observed variables. Robust ML (MLR) has been introduced into CFA models when this normality assumption is slightly or moderately violated. Diagonally weighted least squares (WLSMV), on the other hand, is specifically designed for ordinal data. Although WLSMV makes no distributional assumptions about the observed variables, a normal latent distribution underlying each observed categorical variable is instead assumed. A Monte Carlo simulation was carried out to compare the effects of different configurations of latent response distributions, numbers of categories, and sample sizes on model parameter estimates, standard errors, and chi-square test statistics in a correlated two-factor model. The results showed that WLSMV was less biased and more accurate than MLR in estimating the factor loadings across nearly every condition. However, WLSMV yielded moderate overestimation of the interfactor correlations when the sample size was small or/and when the latent distributions were moderately nonnormal. With respect to standard error estimates of the factor loadings and the interfactor correlations, MLR outperformed WLSMV when the latent distributions were nonnormal with a small sample size of N = 200. Finally, the proposed model tended to be over-rejected by chi-square test statistics under both MLR and WLSMV in the condition of small sample size N = 200.
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                Author and article information

                Journal
                caledu
                Calidad en la educación
                Calidad en la educación
                Consejo Nacional de Educación (Santiago, , Chile )
                0718-4565
                December 2020
                : 53
                : 321-363
                Affiliations
                [5] Santiago Bío-Bío orgnameUniversidad San Sebastián Chile gonzalo.puentes@ 123456uss.cl
                [1] Concepción Bío-Bío orgnameUniversidad de Concepción Chile lgonzalez@ 123456udec.cl
                [4] Concepción Bío-Bío orgnameUniversidad de Concepción Chile becastro@ 123456udec.cl
                [2] Cluj-Napoca orgnameTechnical University Cluj-Napoca Rumania ionut.stanciu@ 123456dppd.utcluj.ro
                [6] Concepción Bío-Bío orgnameUniversidad de Concepción Chile mavaldivia@ 123456udec.cl
                [3] Munich orgnameLudwig-Maximilians-Universitat München Alemania nic.nistor@ 123456um-muenchen.de
                Article
                S0718-45652020000200321 S0718-4565(20)00005300321
                10.31619/caledu.n53.860
                b87cceb4-092a-46d9-be36-64672ed3c23d

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 22 October 2020
                : 15 June 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 97, Pages: 43
                Product

                SciELO Chile

                Self URI: Full text available only in PDF format (EN)

                Percepciones de Académicos,Higher Education,Gestión de la Calidad,Accreditation,Structural Equation Modeling,Faculty Perceptions,Educación Superior,Desarrollo de Escalas,Scale Development,Latin America,Quality Management,Modelos de Ecuaciones Estructurales,América Latina,Acreditación

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