An integrated approach to the analysis of binary choice data
Published Date
Publisher
Type
Abstract
An integrated package of statistics is described
for measuring the relationship between binary
dominance data, such as choices, and predictor
variables that measure the objects or stimuli. The
degree of fit between predictors and choices is defined,
and procedures for determining the maximum
possible fit and minimum acceptable fit are
described. The statistics are applied, for illustrative
purposes, to a practical data set.
Keywords
Description
Related to
item.page.replaces
License
Series/Report Number
Funding Information
item.page.isbn
DOI identifier
Previously Published Citation
Cermak, Gregory W, Lieberman, Gerald J & Benson, Harold P. (1982). An integrated approach to the analysis of binary choice data. Applied Psychological Measurement, 6, 31-40. doi:10.1177/014662168200600103
Other identifiers
doi:10.1177/014662168200600103
Suggested Citation
Cermak, Gregory W.; Lieberman, Gerald J.; Benson, Harold P.. (1982). An integrated approach to the analysis of binary choice data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/101358.
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.