Causal analysis
Subtitle: assumptions, models, and data
By: by Lawrence R. James, Stanley A. Mulaik, and Jeanne M. Brett.
Contributors: Mulaik, Stanley A., 1935-; Brett, Jeanne M.; American Psychological Association. Division of Industrial-Organizational Psychology.
Series: Studying organizations : innovations in methodology ;; 1; Studying organizations ;; v. 1.
Publisher: Sage Publications
Published: 1982
Place of publication: Beverly Hills
Language: eng
Number of pages: 176
Subjects: Organization -- Research -- Statistical methods; Psychology -- Statistical methods; Causation
Description: This book focuses specifically on confirmatory analysis - a quantitative technique used to illuminate causal relationships among organizational phenomena. The authors outline the conditions that must be met if causal inferences are to be drawn from nonexperimental data, and offer new tests for determining whether data meet those conditions. While analytic models and techniques of confirmatory analysis are stressed here, the authors also emphasize the importance of strong, well-developed theory as a prerequisite to the appropriate application of these powerful (but easily misused) tools.
Notes: Bibliography: p. 169-175.
"Published in cooperation with Division 14 of the American Psychological Association."