| 000 -LEADER |
|---|
| fixed length control field |
01223pab a2200157 454500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180718b xxu||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Conrad Cynthia |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Binary decision analysis: an empirical approach to predicting and understanding organizational decisions |
| 362 ## - DATES OF PUBLICATION AND/OR SEQUENTIAL DESIGNATION |
|---|
| Dates of publication and/or sequential designation |
16(4) Apr 1993, p.527-626 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Organisation |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Binary Decision Analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Decision Making |
| 773 ## - HOST ITEM ENTRY |
|---|
| Main entry heading |
International Journal of Public Administration |
| 909 ## - |
|---|
| -- |
26666 |
