Scale Development by Taking into Account Common Method Variance.
| Title: | Scale Development by Taking into Account Common Method Variance. |
|---|---|
| Authors: | Ding, Cherng G., Ten-Der Jane, Chiu-Hui Wu, Hang-Rung Lin |
| Source: | Academy of Management Annual Meeting Proceedings; 2014, Vol. 2014 Issue 1, p1-1, 1p |
| Abstract: | In the present study, an updated procedure for scale development by taking into account common method variance at the item level is proposed, focusing on scale reduction. The CFA marker technique can detect if CMV exists and identify the items contaminated by CMV. We remove the items, one at a time, until none of the items left in the scales for substantive constructs is contaminated. Subsequently, traditional CFA/SEM is conducted, without the threat of CMV, to continue reducing the scale for the focal construct based on the criterion of maximizing convergent validity while maintaining unidimensionality, discriminant validity, and nomological validity. In particular, procedural remedies should be implemented in the stage of item generation to preclude sources of bias and mitigate CMV. Three assumptions for the updated procedure are required. First, the measures are reflective rather than formative. Second, substantive and the marker constructs are uncorrelated and do not interact. Third, a nomological network for substantive constructs is given. Preliminary Monte Carlo simulation has indicated that the CFA marker technique with the method-U model performs well in detecting the items contaminated by CMV. On the other hand, analyses without considering CMV would produce biased parameter estimates, leading to biases in validity assessment. The proposed updated procedure for scale development is recommended to reduce negative impacts of CMV. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Scale Development by Taking into Account Common Method Variance. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ding%2C+Cherng+G%2E%22">Ding, Cherng G.</searchLink><br /><searchLink fieldCode="AR" term="%22Ten-Der+Jane%22">Ten-Der Jane</searchLink><br /><searchLink fieldCode="AR" term="%22Chiu-Hui+Wu%22">Chiu-Hui Wu</searchLink><br /><searchLink fieldCode="AR" term="%22Hang-Rung+Lin%22">Hang-Rung Lin</searchLink> – Name: TitleSource Label: Source Group: Src Data: Academy of Management Annual Meeting Proceedings; 2014, Vol. 2014 Issue 1, p1-1, 1p – Name: Abstract Label: Abstract Group: Ab Data: In the present study, an updated procedure for scale development by taking into account common method variance at the item level is proposed, focusing on scale reduction. The CFA marker technique can detect if CMV exists and identify the items contaminated by CMV. We remove the items, one at a time, until none of the items left in the scales for substantive constructs is contaminated. Subsequently, traditional CFA/SEM is conducted, without the threat of CMV, to continue reducing the scale for the focal construct based on the criterion of maximizing convergent validity while maintaining unidimensionality, discriminant validity, and nomological validity. In particular, procedural remedies should be implemented in the stage of item generation to preclude sources of bias and mitigate CMV. Three assumptions for the updated procedure are required. First, the measures are reflective rather than formative. Second, substantive and the marker constructs are uncorrelated and do not interact. Third, a nomological network for substantive constructs is given. Preliminary Monte Carlo simulation has indicated that the CFA marker technique with the method-U model performs well in detecting the items contaminated by CMV. On the other hand, analyses without considering CMV would produce biased parameter estimates, leading to biases in validity assessment. The proposed updated procedure for scale development is recommended to reduce negative impacts of CMV. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Academy of Management Annual Meeting Proceedings is the property of Academy of Management and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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