Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5541
Title: A step-wise multiple linear regression analysis for identifying predictors of employees’ intention to undertake further study
Authors: Lazim Abdullah
Ashraf Fahmi Rahim
Keywords: step-wise procedure
multiple linear regression
predictor
employees’ intention
regression coefficient
Issue Date: 2016
Publisher: Journal of Current Research in Science
Abstract: The 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.
URI: http://hdl.handle.net/123456789/5541
Appears in Collections:Journal Articles



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