A step-wise multiple linear regression analysis for identifying predictors of employees’ intention to undertake further study

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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.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.identifier.urihttp://hdl.handle.net/123456789/5541
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
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