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Examination and Measurement of Halo Via Curvilinear Regression: A New Approach to Halo 1
Author(s) -
Thomas Adrian,
Palmer Jerry K.,
Feldman Jack M.
Publication year - 2009
Publication title -
journal of applied social psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 111
eISSN - 1559-1816
pISSN - 0021-9029
DOI - 10.1111/j.1559-1816.2008.00441.x
Subject(s) - halo , halo effect , dimension (graph theory) , psychology , rating scale , curvilinear coordinates , regression analysis , regression , social psychology , statistics , econometrics , mathematics , developmental psychology , physics , pure mathematics , astrophysics , geometry , galaxy
Much disagreement and confusion has surrounded the nature of the relationship between halo and performance rating accuracy. Traditionally, the relationship has been assumed to be linear (Cooper, 1981), but Fisicaro (1988) proposed that the relationship between halo and performance rating accuracy is, instead, curvilinear. Using the halo index suggested by Balzer & Sulsky (1992), the results of the present study provided empirical evidence to support Fisicaro's proposal. Future research examining the relationship between halo and accuracy should consider the use of quadratic models, instead of linear ones. For the practitioner, this result implies that low rating dimension intercorrelations (negative halo) may lead to inaccuracy in ratings in much the same way as do high rating dimension intercorrelations (positive halo).