Shipley1997

Référence

Shipley, B. (1997) Exploratory path analysis with applications in ecology and evolution. American Naturalist, 149(6):1113-1138.

Résumé

In this article, I first describe some recent developments in the identification of the structure of dependencies among variables in multivariate data relevant to exploratory path analysis. I then introduce a bootstrap modification of one important method (the SGS algorithm) that is designed to improve error rates of exploratory path analysis in the small data sets that are typical of studies in ecology and evolution. Monte Carlo results indicate that this modified technique can find path models that are close to the true model even in very small data sets. The boot-strapped SGS algorithm is then applied to a previously published data set involving attributes affecting seed dispersal in St. Lucie's cherry.

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@ARTICLE { Shipley1997,
    AUTHOR = { Shipley, B. },
    TITLE = { Exploratory path analysis with applications in ecology and evolution },
    JOURNAL = { American Naturalist },
    YEAR = { 1997 },
    VOLUME = { 149 },
    PAGES = { 1113-1138 },
    NUMBER = { 6 },
    NOTE = { 00030147 (ISSN) Cited By (since 1996): 39 Export Date: 26 April 2007 Source: Scopus CODEN: AMNTA doi: 10.1086/286041 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 References: Bentler, P.M., (1992) EQS Structural Equations Program Manual, , BMDP Statistical Software, Los Angeles; Bollen, K.A., (1989) Structural Equations with Latent Variables, , Wiley, New York; Chou, C.P., Bentler, P.M., Model modification in covariance structure modeling: A comparison among likelihood ratio, Lagrange multiplier and Wald tests (1990) Multivariate Behavioral Research, 25, pp. 115-136; Crespi, B.J., Bookstein, F.L., A path-analytic model for the measurement of selection on morphology (1982) Evolution, 43, pp. 18-28; Efron, B., (1982) The Jackknife, the Bootstrap and Other Resampling Plans, , Society for Industrial and Applied Mathematics, Philadelphia; Eliason, S.R., (1993) Maximum Likelihood Estimation: Logic and Practice, , Sage, Newbury Park, Calif; Glymour, C., Scheines, R., Spirtes, P., Kelly, K., (1987) Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling, , Academic Press, Orlando, Fla; Glymour, C., Spirtes, P., Scheines, R., Causal inference (1991) Erkenntnis, 35, pp. 151-189; Hilary, F., Palmer, E., (1973) Graphical Enumeration, , Academic Press, New York; Jordano, P., Frugivore-mediated selection on fruit and seed size: Birds and St. Lucie's cherry, Prunus mahaleb (1995) Ecology, 76, pp. 2627-2639; Jo?reskog, K., So?rborn, D., (1984) LISREL IV User's Guide, , Scientific Software, Moorseville, Ind; Kingsolver, J.G., Schemske, D.W., Analysing selection with path analysis (1991) Trends in Ecology \& Evolution, 6, pp. 276-280; Li, C.C., (1975) Path Analysis: A Primer, , Boxwood, Pacific Grove, Calif; Mitchell, R.J., Testing evolutionary and ecological hypotheses using path analysis and structural equation modeling (1992) Functional Ecology, 6, pp. 123-129; Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T., (1986) Numerical Recipes: the Art of Scientific Computing, , Cambridge University Press, Cambridge; Satorra, A., Saris, W.E., Power of the likelihood ratio test in covariance structure analysis (1985) Psychometrika, 50, pp. 83-90; Scheines, R., Spirtes, P., Glymour, C., Meek, C., (1994) TETRAD II, , Erlbaum, Hillsdale, N.J; Shipley, B., Structured interspecific determinants of specific leaf area in 34 species of herbaceous angiosperms (1995) Functional Ecology, 9, pp. 312-319; Sokal, R.R., Rohlf, F.J., (1981) Biometry. 2d Ed., , W. H. Freeman, New York; Spirtes, P., Scheines, R., Glymour, C., Simulation studies of the reliability of computer-aided model specification using TETRAD II, EQS, and LISREL programs (1990) Sociological Methods and Research, 19, pp. 3-66; Spirtes, P., Glymour, C., Scheines, R., Causation, prediction and search (1993) Springer-Verlag Lecture Notes in Statistics, 81. , Springer, New York; Steiger, J.H., Structural model evaluation and modification: An interval estimation approach (1990) Multivariate Behavioral Research, 25, pp. 173-180. },
    ABSTRACT = { In this article, I first describe some recent developments in the identification of the structure of dependencies among variables in multivariate data relevant to exploratory path analysis. I then introduce a bootstrap modification of one important method (the SGS algorithm) that is designed to improve error rates of exploratory path analysis in the small data sets that are typical of studies in ecology and evolution. Monte Carlo results indicate that this modified technique can find path models that are close to the true model even in very small data sets. The boot-strapped SGS algorithm is then applied to a previously published data set involving attributes affecting seed dispersal in St. Lucie's cherry. },
    KEYWORDS = { exploratory path analysis multivariate analysis Prunus mahaleb Rosaceae },
    OWNER = { brugerolles },
    TIMESTAMP = { 2007.12.05 },
}

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