Normal view MARC view ISBD view

Binary decision analysis: an empirical approach to predicting and understanding organizational decisions

By: Conrad Cynthia.
Material type: materialTypeLabelArticleSubject(s): Organisation | Binary Decision Analysis | Decision Making In: International Journal of Public AdministrationSummary: Binary decision analysis is an alternative approach to the analysis of organizational decisions that lends itself well to mathematic analysis. The purpose of this paper is to present and test the application of the binary approach to decision analysis and its subsequent mathematical testing using logit regression. Binary decision analysis focuses on each decision as a single choice between two distinct alternatives or a step in a sequence of such binary choices in more complex organizational decisions. Logit regression is a type of regression especially development variables in the context of inferential statistical testing. By successfully combining these two approaches, and adhering to the theoretical and sta
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode
Articles Articles Indian Institute of Public Administration
Available AR26768

Binary decision analysis is an alternative approach to the analysis of organizational decisions that lends itself well to mathematic analysis. The purpose of this paper is to present and test the application of the binary approach to decision analysis and its subsequent mathematical testing using logit regression. Binary decision analysis focuses on each decision as a single choice between two distinct alternatives or a step in a sequence of such binary choices in more complex organizational decisions. Logit regression is a type of regression especially development variables in the context of inferential statistical testing. By successfully combining these two approaches, and adhering to the theoretical and sta

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha