Journal article
A Confidence Interval for Ordinal Multiple Regression Weights
Psychological methods, Vol.4(3), pp.315-330
09/1999
DOI: 10.1037/1082-989X.4.3.315
Abstract
A confidence interval (CI) for a population predictor weight
for use with N. Cliff's (1994) method of ordinal
multiple regression (OMR) is presented. The OMR CI is based
on an estimated standard error of a weight derived from a
fixed-effects model. A simulation was performed to examine the
sampling properties of the OMR CI. The results show that the OMR CI
had good Type I error rate and coverage. The OMR CI had lower power
than the least-squares multiple regression (LSMR) CI when
predictors were not correlated but had higher power when predictor
correlations were moderate to high. In addition to discussing the
simulation results, it is pointed out that the OMR CI can have superior
sampling properties when the fixed-effects assumptions are
violated. The OMR CI is recommended when a researcher wants to
consider only ordinal information in multivariate prediction, when
predictor correlations are moderate to high, and when the assumptions
of fixed-effects LSMR are violated.
Details
- Title: Subtitle
- A Confidence Interval for Ordinal Multiple Regression Weights
- Creators
- Jeffrey D Long - St. John's University
- Resource Type
- Journal article
- Publication Details
- Psychological methods, Vol.4(3), pp.315-330
- Publisher
- American Psychological Association
- DOI
- 10.1037/1082-989X.4.3.315
- ISSN
- 1082-989X
- eISSN
- 1939-1463
- Language
- English
- Date published
- 09/1999
- Academic Unit
- Psychiatry; Biostatistics
- Record Identifier
- 9984280872702771
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