Open AccessSuppressor Variables in Social Work Research: Ways to Identify in Multiple Regression Models
Author(s) -
Shanta Pandey,
William Elliott
Publication year - 2010
Publication title -
journal of the society for social work and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 15
eISSN - 2334-2315
pISSN - 1948-822X
DOI - 10.5243/jsswr.2010.2
Subject(s) - regression analysis , regression , statistics , regression diagnostic , econometrics , mathematics , polynomial regression
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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