Is Causal Modeling Really Helpful? [electronic resource] / Lee M. Wolfle.
Hierarchial causal models are described as pictorial representations of multiple regression equations. These models are particularly helpful for three reasons: (1) the formulation of problems in a path analytic framework forces a degree of explicitness that is often not present in research reports t...
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| Format: | Electronic eBook |
| Language: | English |
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1981.
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| Summary: | Hierarchial causal models are described as pictorial representations of multiple regression equations. These models are particularly helpful for three reasons: (1) the formulation of problems in a path analytic framework forces a degree of explicitness that is often not present in research reports that rely solely on regression; (2) they provide a powerful aid to the substantive interpretation of results; and (3) they aid in the interpretation of relationships between unmeasured variables. Though causal modeling techniques are very powerful, important prerequisites are a thorough knowledge of one's subject matter and a stylish appreciation of alternative explanations. (BW) |
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| Item Description: | ERIC Document Number: ED204392. ERIC Note: Paper presented at the Annual Meeting of the American Educational Research Association (65th, Los Angeles, CA, April 13-17, 1981). |
| Physical Description: | 15 p. |