Accession Number:

ADA065289

Title:

Organizational Diagnosis: Issues and Methods.

Descriptive Note:

Final technical rept.,

Corporate Author:

MICHIGAN UNIV ANN ARBOR INST FOR SOCIAL RESEARCH

Personal Author(s):

Report Date:

1979-02-01

Pagination or Media Count:

147.0

Abstract:

This report presents different approaches to data based organizational diagnosis in particular, distance function, discriminant function, decision tree, and a Bayesian approach and their effectiveness when applied to approximately 6,000 work groups. In particular, several different criteria are used to evaluate the classification techniques proportion of correct classification, ability to reproduce the typology, a zero-one closeness measure, severity of misclassification, the information required to make classifications, the amount of data required to develop the procedure, and the ease of implementing the procedure. Discussion of these issues, and, as a consequence, suggestions for further investigation are included. Author

Subject Categories:

  • Sociology and Law

Distribution Statement:

APPROVED FOR PUBLIC RELEASE