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ERIC Number: ED191036
Record Type: RIE
Publication Date: 1980-Aug
Pages: 18
Abstractor: N/A
Reference Count: 0
Evaluating Causal Models.
Watt, James H., Jr.
Pointing out that linear causal models can organize the interrelationships of a large number of variables, this paper contends that such models are particularly useful to mass communication research, which must by necessity deal with complex systems of variables. The paper first outlines briefly the philosophical requirements for establishing a causal relationship, including the need for a spatial contiguity between cause and effect, the need for temporal priority between cause and effect, and the need for some necessary connection between the cause and effect. It notes that the last stage is often omitted by communication researchers. The paper then describes the stages in causal analysis and relates each to the philosophical requirements. Next, it analyzes three very different studies involving causal analysis. In conclusion, it illustrates the power of the often omitted third stage of causal analysis in detecting errors in causal ordering and linkages. (FL)
Publication Type: Information Analyses; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Causal Models
Note: Paper presented at the Annual Meeting of the Association for Education in Journalism (63rd, Boston, MA, August 9-13, 1980).