Causal analysis
assumptions, models, and data
by Lawrence R. James
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.
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Causation, Organization, Psychology, Research, Statistical methods| Edition | Availability |
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Causal analysis: assumptions, models, and data
1982, Sage Publications
in English
0803918682 9780803918689
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Edition Notes
Bibliography: p. 169-175.
"Published in cooperation with Division 14 of the American Psychological Association."
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