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dc.contributor.authorHernández Fernández, Antonio
dc.contributor.authorÁvalos Ruiz, Inmaculada
dc.contributor.authorPantoja Vallejo, Antonio
dc.date.accessioned2023-09-25T07:45:35Z
dc.date.available2023-09-25T07:45:35Z
dc.date.issued2023-07-04
dc.identifier.citationHernández-Fernández A, Ávalos-Ruiz I and Pantoja-Vallejo A (2023) Psychometric properties of a dropout prediction tool for students in Andalusia. Front. Educ. 8:1121985. [doi: 10.3389/feduc.2023.1121985]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/84609
dc.description.abstractThis article analyzes the psychometric properties of the scale used in the research corresponding to the topic “Stories of Abandonment. A Biographical-Narrative Approach to the Academic Dropout in Andalusian Universities. Multicausal Analysis and Proposals for Prevention.” The scale is composed of 71 items, with five Likert-type response alternatives. The participants forming the convenience sample were 970 from six Spanish universities. The study dimensions are: A.- Motivation, B.-Commitment, C.-Attitude and behavior, D.-Socioeconomic conditions, and finally E.-Permanence. The study begins by calculating the statistical power and the effect size, thus determining the type I and type II error. Similarly, reliability has been calculated based on the intercorrelation of items through Cronbach’s alpha (0.906). The construct validity was carried out through exploratory factor analysis, for which the correlation matrix was studied using the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO coefficient), in this case the value is 0.886, the result of Bartlett’s test of sphericity is 0.000 and the Determinant 4.009E−12, so we continue with the analysis of the correlational structure, extracting the factors through the principal components method and determining in this way the communalities with the highest and lowest values. Next, we calculated the total variance explained, obtaining 16 factors and an accumulated variance of 57.315%. Finally, the model was determined by distributing the items according to the highest level of saturation by factors, obtaining a 30-item scale with a Cronbach’s alpha of 0.893, which is reliable. In conclusion, the questionnaire used complies with the psychometric aspects necessary to be an optimal scalees_ES
dc.description.sponsorshipB-SEJ-516-UGR18es_ES
dc.language.isoenges_ES
dc.publisherFrontierses_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectPsychometrics es_ES
dc.subjectQuestionnairees_ES
dc.subjectDropoutes_ES
dc.subjectDropout predictiones_ES
dc.subjectUniversityes_ES
dc.titlePsychometric properties of a dropout prediction tool for students in Andalusiaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3389/feduc.2023.1121985
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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