@ARTICLE {Shipley1999,
AUTHOR = {Shipley, B.},
TITLE = {Testing causal explanations in organismal biology: Causation, correlation
and structural equation modelling},
JOURNAL = {Oikos},
YEAR = {1999},
VOLUME = {86},
PAGES = {374-382},
NUMBER = {2},
NOTE = {00301299 (ISSN) Cited By (since 1996): 23 Export Date: 26 April 2007
Source: Scopus CODEN: OIKSA Language of Original Document: English
Correspondence Address: Shipley, B.; Departement de Biologie; Universite
de Sherbrooke Sherbrooke, Que. J1K 2R1, Canada; email: bshipley@courrier.usherb.ca
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ABSTRACT = {This paper describes some recent statistical developments that specify
under what conditions multivariate causal explanations can be tested
with observational data. The specific questions that motivate the
paper involve testing hypotheses concerning the causal relationships
between different traits of an organism. I argue that in such cases
neither randomized experiments nor controlled experimental manipulations
can test such hypotheses but that structural equation modelling
(path analysis) can be used for such purposes. I conclude by describing
some of the limitations of path analysis.},
KEYWORDS = {multivariate analysis statistical analysis},
OWNER = {brugerolles},
TIMESTAMP = {2007.12.05},
}