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First, we examined the factor structure of the TEAP test (Research Question 1) by testing four models that hypothesized relationships among variables: a unitary model, a correlated model, a receptive-productive model, and a higher-order model.
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These data indicate that contrary to previous models that hypothesize the conversion of organic mercury to the inorganic species, organic and inorganic mercurials act by independent or unique molecular mechanisms.
These data indicate that contrary to previous models that hypothesize the conversion of organic mercury to the inorganic species, which is the active form of the metal, organic and inorganic mercurials function by independent or unique molecular mechanisms.
The current study extends these findings by placing these factors together in a model that hypothesizes their specific relations, and their effects on a variety of professional learning activities teachers can engage in.
In addition, the gene model that hypothesizes the structure of transcripts produced by a gene also affects the analysis.
On the other hand, the two least supported migration models were the ones that hypothesized an ACC barrier.
A model that hypothesized that STAT-B was evolving by directional selection fit the empirical data significantly better than the null model that assumed neutral evolution in all genes [χ(1) = 9.1; P = 0.0026].
The former account for both mechanical stress and strain, providing a computational model that describes hypothesized microtubule tip structures, while the latter incorporate bond energies and inter-protofilament cracks into their model.
We recognize that while more complex than traditional multiple regression models, our path model is still only one of many plausible models that can be hypothesized in order to explain the underlying biological mechanisms.
Proposed path analytical model suggests that hypothesized variables are useful to forecast e-learning results.
The fourth model (Model 4) was a two-factor model that was recently hypothesized by Kao et al. (2010) [ 46].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com