Organizational Diagnosis: Issues and Methods.

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)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1979
Accession Number
ADA065289

Entities

People

  • Alan S. Davenport
  • David G. Bowers

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Bayesian Networks
  • Behavioral Sciences
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Databases
  • Diseases And Disorders
  • Human Resources
  • Machines
  • Management Personnel
  • Military Research
  • Naval Personnel
  • Probability
  • Psychology
  • Resource Management
  • Standards

Readers

  • Instructional Design and Training Evaluation.
  • Regression Analysis.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks