Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5541
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLazim Abdullah-
dc.contributor.authorAshraf Fahmi Rahim-
dc.date.accessioned2017-04-10T07:26:31Z-
dc.date.available2017-04-10T07:26:31Z-
dc.date.issued2016-
dc.identifier.urihttp://hdl.handle.net/123456789/5541-
dc.description.abstractThe aim of the current study is to identify predictors of intention to undertake further study among employees. Data regarding employees’ intention and related variables were collected from five private companies and eight government agencies at a municipality council in Malaysia. In this study, hundred and twenty employees were fully completed the questionnaire. Ten predictors and one dependent variable (Intention) were defined. A series of six-step analyses of step-wise multiple linear regression was performed. The findings show the linearity assumption about the association between predictors and dependent variable (Intention) is fulfilled. A significant portion of the variability in dependent variable (Intention) is explained by multiple regressions on the predictors. A positive 0.817 regression coefficient suggests that motivation level is the most influential predictor in predicting employees’ intention to undertake further study.en_US
dc.language.isoenen_US
dc.publisherJournal of Current Research in Scienceen_US
dc.subjectstep-wise procedureen_US
dc.subjectmultiple linear regressionen_US
dc.subjectpredictoren_US
dc.subjectemployees’ intentionen_US
dc.subjectregression coefficienten_US
dc.titleA step-wise multiple linear regression analysis for identifying predictors of employees’ intention to undertake further studyen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles



Items in UMT-IR are protected by copyright, with all rights reserved, unless otherwise indicated.