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dc.contributor.authorSuntonrapot Damrongpaniten_US
dc.date.accessioned2019-08-05T04:44:02Z-
dc.date.available2019-08-05T04:44:02Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn23323213en_US
dc.identifier.issn23323205en_US
dc.identifier.other2-s2.0-85061650409en_US
dc.identifier.other10.13189/ujer.2019.070118en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85061650409&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65890-
dc.description.abstract© 2019 by authors, all rights reserved. The purposes of this study were to test the structural validity and to test the parameters invariance of the self-discipline measurement model for good student citizenship among the models, using the data from the 1,047 complete questionnaires and the reducing length questionnaires with multiple matrix sampling technique. The sample size of this study was 1,047 bachelor’s degree students selected by means of a multi-stage sampling technique. A set of 5 rating scale and 89-item questionnaires, divided into two versions, 44 and 45 each. The data were analyzed by confirmatory factor analysis and multiple group analysis. The research findings were as follows: 1) the model can be used to confirm the self-discipline construct validity of 4 components as responsibility, honesty, compliance and patience with ambition and intention, and 2) patterns and parameters of the model were varied between the models using the data from the full questionnaire and the data that reduced the length of the questionnaire. However, the measurement model is consistent with the empirical data in both cases.en_US
dc.subjectSocial Sciencesen_US
dc.titleFactor structure and measurement invariance of the self-discipline model using the different-length questionnaires: Application of multiple matrix samplingen_US
dc.typeJournalen_US
article.title.sourcetitleUniversal Journal of Educational Researchen_US
article.volume7en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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