Shipley2013

Référence

Shipley, B. (2013) The AIC model selection method applied to path analytic models compared using a d-separation test. Ecology, 94(3):560-564. (Scopus )

Résumé

Classical path analysis is a statistical technique used to test causal hypotheses involving multiple variables without latent variables, assuming linearity, multivariate normality, and a sufficient sample size. The d-separation (d-sep) test is a generalization of path analysis that relaxes these assumptions. Although model selection using Akaike's information criterion (AIC) is well established for classical path analysis, this model selection technique has not yet been developed for d-sep tests. In this paper, I explain how to use the AIC statistic for d-sep tests, give a worked example, and include instructions (supplemental material) to implement the analysis in the R computing language. © 2013 by the Ecological Society of America.

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@ARTICLE { Shipley2013,
    AUTHOR = { Shipley, B. },
    TITLE = { The AIC model selection method applied to path analytic models compared using a d-separation test },
    JOURNAL = { Ecology },
    YEAR = { 2013 },
    VOLUME = { 94 },
    PAGES = { 560-564 },
    NUMBER = { 3 },
    ABSTRACT = { Classical path analysis is a statistical technique used to test causal hypotheses involving multiple variables without latent variables, assuming linearity, multivariate normality, and a sufficient sample size. The d-separation (d-sep) test is a generalization of path analysis that relaxes these assumptions. Although model selection using Akaike's information criterion (AIC) is well established for classical path analysis, this model selection technique has not yet been developed for d-sep tests. In this paper, I explain how to use the AIC statistic for d-sep tests, give a worked example, and include instructions (supplemental material) to implement the analysis in the R computing language. © 2013 by the Ecological Society of America. },
    COMMENT = { Export Date: 7 May 2013 Source: Scopus CODEN: ECOLA :doi 10.1890/12-0976.1 },
    ISSN = { 00129658 (ISSN) },
    KEYWORDS = { AIC statistic, D-separation (d-sep) test, Path analysis, Structural equation modeling(SEM) },
    OWNER = { Luc },
    TIMESTAMP = { 2013.05.07 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84876105687&partnerID=40&md5=cb2285ded15a8e792773ba49b90e2dfd },
}

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