University of Minnesota Digital Conservancy >
University of Minnesota - Twin Cities >
Applied Psychological Measurement >
Volume 14, 1990 >
Please use this identifier to cite or link to this item:
|Title: ||Implications of three causal models for the measurement of halo error|
|Authors: ||Fisicaro, Sebastiano A.|
Lance, Charles E.
|Issue Date: ||1990|
|Citation: ||Fisicaro, Sebastiano A & Lance, Charles E. (1990). Implications of three causal models for the measurement of halo error. Applied Psychological Measurement, 14, 419-429. doi:10.1177/014662169001400407|
|Abstract: ||The appropriateness of a traditional correlational
measure of halo error (the difference
between dimensional rating intercorrelations and
dimensional true score intercorrelations) is
reexamined in the context of three causal models
of halo error. Mathematical derivations indicate
that the traditional correlational measure typically
will underestimate halo error in ratings and can
suggest no halo error or even "negative" halo
error when positive halo error actually occurs.
A corrected correlational measure is derived that
avoids these problems, and the traditional and
corrected measures are compared empirically.
Results suggest that use of the traditional
correlational measure of halo error be discontinued.
Index terms: halo, halo effect,
halo error, performance ratings, rating accuracy,
|Appears in Collections:||Volume 14, 1990|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.