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Considering the method described by Hsieh et al. [ 22] for determining the sample size required for the estimation of a correlation coefficient and for linear regression models, a sample of size 16 is sufficient for estimating a correlation coefficient equal to 0.65 with a level of significance of 0.05 and a power of 0.20.
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To contrast empirically the theoretical model, a sample of 159 Spanish industrial firms is taken and a structural equations model is tested through the Partial Least Squares (PLS) technique.
We reviewed the following F.R.S. and G.M.R.S.-F.R.S. models as a sample of what is available; the radios were tested in both the country and the city.
This paper focuses on the spatial marginal effects of forests, parks, and fields and estimates spatial hedonic models on a sample of apartment transactions in Helsinki, Finland.
Then we replicate the Cawley, Han and Norton models on a sample of immigrants only.
Hensher et al. [15] analysed choices of automobile models by a sample of consumers that offered a hypothetical menu of features.
To test the hypothesis, we estimate different models for a sample of first-generation immigrants between 25 and 55 years of age using data of the SOEP.
The study was designed to compare the public drug procurement models of a sample of states on a set of 53 predetermined parameters.
The newly developed framework has been tested through partial least squares structural equation modeling with a sample of 321 young Chinese smartphone users.
We find considerable empirical support for the model in a sample of 14 OECD countries.
Implementation of the model in a sample of 42 clinics resulted in increased efficiency (+ 25%).
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CEO of Professional Science Editing for Scientists @ prosciediting.com