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Suppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models

Pandey, Shanta
; 
Elliott, William
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Abstract
Suppressor variables may be more common in social work research than what is currently recognized. We review different types of suppressor variables and illustrate systematic ways to identify them in multiple regression using four statistics: R2, sum of squares, regression weight, and comparing zero-order correlations with respective semipartial correlations.
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This is the publisher's version, also available electronically from http://www.jstor.org/.
Date
2010-01-01
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University of Chicago Press
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Social Welfare Scholarly Works
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EllliotW_JSSWR_1(1)28.pdf
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Keywords
suppressor variable, semipartial correlation
Citation
Pandey, Shanta; Elliott, William. (2010). "Suppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models." Journal of the Society for Social Work and Research, 1(1):28-40. http://www.jstor.org/stable/10.5243/jsswr.2010.2.
URI
https://hdl.handle.net/1808/17529
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