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DC Field | Value | Language |
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dc.contributor.author | Lazim Abdullah | - |
dc.contributor.author | Ashraf Fahmi Rahim | - |
dc.date.accessioned | 2017-04-10T07:26:31Z | - |
dc.date.available | 2017-04-10T07:26:31Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5541 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Journal of Current Research in Science | en_US |
dc.subject | step-wise procedure | en_US |
dc.subject | multiple linear regression | en_US |
dc.subject | predictor | en_US |
dc.subject | employees’ intention | en_US |
dc.subject | regression coefficient | en_US |
dc.title | A step-wise multiple linear regression analysis for identifying predictors of employees’ intention to undertake further study | en_US |
dc.type | Article | en_US |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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154-A step-wise multiple linear regression analysis for identifying predictors of employees intention to undertake further study.pdf | Full Text File | 697.9 kB | Adobe PDF | View/Open |
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