A review of regression diagnostics for behavioral research
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
A review of regression diagnostics for behavioral research
Authors
Published Date
1992
Publisher
Type
Article
Abstract
Influential data points can affect the results of
a regression analysis; for example, the usual summary
statistics and tests of significance may be
misleading. The importance of regression
diagnostics in detecting influential points is
discussed, and five statistics are recommended for
the applied researcher. The suggested diagnostics
were used on a small dataset to detect an influential
data point, and the effects were analyzed.
Colinearity-based diagnostics also are discussed
and illustrated on the same dataset. The nonrobustness
of the least squares estimates in the
presence of influential points is emphasized.
Diagnostics for multiple influential points, multivariate
regression, multicolinearity, nonlinear
regression, and other multivariate procedures also
are discussed. Index terms: Andrew-Pregibon
measure, colinearity, Cook’s distance, covariance
ratio, influential observations, measurement error,
partial residual plot, regression diagnostics.
Keywords
Description
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Chatterjee, Sangit & Yilmaz, Mustafa. (1992). A review of regression diagnostics for behavioral research. Applied Psychological Measurement, 16, 209-227. doi:10.1177/014662169201600301
Suggested citation
Chatterjee, Sangit; Yilmaz, Mustafa. (1992). A review of regression diagnostics for behavioral research. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/115650.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.