Structural Equation Modeling of Vocabulary Size and Depth Using Conventional and Bayesian Methods
In classifications of vocabulary knowledge, vocabulary size and depth have often been separately conceptualized (Schmitt, 2014). Although size and depth are known to be substantially correlated, it is not clear whether they are a single construct or two ...
Rie Koizumi, Yo In’nami
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New product development in an emerging economy: analysing the role of supplier involvement practices by using Bayesian Markov chain Monte Carlo technique [PDF]
The research question is whether the positive relationship found between supplier involvement practices and new product development performances in developed economies also holds in emerging economies.
Dekkers, R., Kanapathy, K., Khong, K.W.
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Multi-trait multi-locus SEM model discriminates SNPs of different effects
Background There is a plethora of methods for genome-wide association studies. However, only a few of them may be classified as multi-trait and multi-locus, i.e.
Anna A. Igolkina +4 more
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How few countries will do? Comparative survey analysis from a Bayesian perspective
Meuleman and Billiet (2009) have carried out a simulation study aimed at the question how many countries are needed for accurate multilevel SEM estimation in comparative studies.
Joop J.C.M. Hox +2 more
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Causal Discovery with Continuous Additive Noise Models [PDF]
We consider the problem of learning causal directed acyclic graphs from an observational joint distribution. One can use these graphs to predict the outcome of interventional experiments, from which data are often not available.
Janzing, Dominik +3 more
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Integrative description of Macrobiotus canaricus sp. nov. with notes on M. recens (Eutardigrada : Macrobiotidae) [PDF]
In this paper we describe Macrobiotus canaricus sp. nov., a new tardigrade species of the Macrobiotus hufelandi group from the Canary Islands. Moreover, with the use of DNA sequencing, we confirm that Macrobiotus recens Cuénot, 1932 represents the ...
Krzywański, Łukasz +2 more
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The Construction of Patient Loyalty Model Using Bayesian Structural Equation Modeling Approach
The information on the health status of an individual is often gathered based on a health survey. Patient assessment on the quality of hospital services is important as a reference in improving the service so that it can increase a patient satisfaction ...
Astari Rahmadita +2 more
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Constructivist Multimedia Learning Environment (CMLE) merupakan model pembelajaran yang di dalamnya seorang pengajar memberikan peserta didiknya sebuah pengalaman yang dapat membantu peserta didik untuk mengembangkan kemampuan memecahkan masalah ...
Eny Sukani Rahayu +3 more
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Outcome contingency selectively affects the neural coding of outcomes but not of tasks [PDF]
Value-based decision-making is ubiquitous in every-day life, and critically depends on the contingency between choices and their outcomes. Only if outcomes are contingent on our choices can we make meaningful value-based decisions.
Brass, Marcel +2 more
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Bayesian MCMC is a widely used model estimation technique, and software from the BUGS family, such as JAGS, have been popular for over two decades.
Martin Hecht +2 more
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