| dc.contributor.author | Pandey, Shanta | |
| dc.contributor.author | Elliott, William | |
| dc.date.accessioned | 2015-04-27T17:02:22Z | |
| dc.date.available | 2015-04-27T17:02:22Z | |
| dc.date.issued | 2010-01-01 | |
| dc.identifier.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. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1808/17529 | |
| dc.description | This is the publisher's version, also available electronically from http://www.jstor.org/. | en_US |
| dc.description.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. | en_US |
| dc.publisher | University of Chicago Press | en_US |
| dc.relation.isversionof | http://www.jstor.org/stable/10.5243/jsswr.2010.2 | en_US |
| dc.subject | suppressor variable | en_US |
| dc.subject | semipartial correlation | en_US |
| dc.title | Suppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models | en_US |
| dc.type | Article | |
| kusw.kuauthor | Elliott, William | |
| kusw.kudepartment | Social Welfare | en_US |
| kusw.oaversion | Scholarly/refereed, publisher version | |
| kusw.oapolicy | This item meets KU Open Access policy criteria. | |
| dc.rights.accessrights | openAccess | |
