Series editor(s): Dr Fredrik Engelstad
Subject Area: Sociology and Public Policy
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|Title:||What's Multiple Regression got to do with it?|
|Volume:||24 Editor(s): Lars Mjøset, Tommy H. Clausen ISBN: 978-0-7623-1313-6 eISBN: 978-1-84950-414-0|
|Citation:||Lyle Scruggs (2007), What's Multiple Regression got to do with it?, in Lars Mjøset, Tommy H. Clausen (ed.) Capitalisms Compared (Comparative Social Research, Volume 24), Emerald Group Publishing Limited, pp.309-323|
|DOI:||10.1016/S0195-6310(06)24007-9 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
|Article type:||Chapter Item|
The first thing most people learn in statistics is that correlation is not causation, and that inferring causation from statistical results requires that there is a theoretical model (a good reason to think there is a causal effect), not just a statistical one. Usually, this implies a theory with some “mechanisms” that may also be subject to investigation. Except in some quite limited senses of the term, almost no one thinks that any MR results justify a causal claim (Goldthorpe, 2001).
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