Predictive emotional intelligence and its relationship with academic success
The purpose of this study was to determine the predictive emotional intelligence (EI) phenomenon in relation to academic achievement using business undergraduate students at a large established premier institution in Malaysia. Selected biographical variables were also investigated to determine its variance against EI components. The results are part of an ongoing study. The results of standard multiple regression provided a good indication of collinearity tolerance showing an acceptable level of shared variance among EI competencies. Out of 12 EI constructs, the regression model revealed that beta values for four domains (stress management, time management, drive strength and commitment ethic) were found to be statistically significant as predictors of academic achievement. The F-test results showed that for certain biographical factors, such as age, gender and programme major, EI mean scores varied and hence rendered marginal significant support for the testable propositions. Significant correlations were also found between EI variables, age and gender.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 3 (2011)
Issue (Month): 5 ()
|Contact details of provider:|| Web page: http://www.inderscience.com/browse/index.php?journalID==310|
When requesting a correction, please mention this item's handle: RePEc:ids:ijecbr:v:3:y:2011:i:5:p:479-493. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darren Simpson)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.