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• W2924149618 abstract "This paper presents a new statistical method and accompanying software for the evaluation of order constrained hypotheses in structural equation models (SEM). The method is based on a large sample approximation of the Bayes factor using a prior with a data-based correlational structure. An efficient algorithm is written into an R package to ensure fast computation. The package, referred to as Bain, is easy to use for applied researchers. Two classical examples from the SEM literature are used to illustrate the methodology and software." @default.
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• W2924149618 date "2019-03-20" @default.
• W2924149618 modified "2023-10-10" @default.
• W2924149618 title "Bain: a program for Bayesian testing of order constrained hypotheses in structural equation models" @default.
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• W2924149618 doi "https://doi.org/10.1080/00949655.2019.1590574" @default.
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