Our aim is to construct a general measurement framework for analyzing the effects of measurement errors in multivariate measurement scales. We define a measurement model, which forms the core of the framework. The measurement scales in turn are often produced by methods of multivariate statistical analysis. As a central element of the framework, we introduce a new, general method of estimating the reliability of measurement scales. It is more appropriate than the classical procedures, especially in the context of multivariate analyses. The framework provides methods for various topics related to the quality of measurement, such as assessing the structural validity of the measurement model, estimating the standard errors of measurement, and correcting the predictive validity of a measurement scale for attenuation. A proper estimate of reliability is a requisite in each task. We illustrate the idea of the measurement framework with an example based on real data.
The effects of emulsion structure and composition of the matrix on the release of linalool (nonpolar) and diacetyl (polar) were studied using sensory evaluation, static headspace gas chromatography, and an electronic nose. The matrices used were water, rapeseed oil, and eight oil-in-water emulsions differing in oil volume fraction (0.05/0.5), emulsifier type (sucrose stearate/modified potato starch), and homogenization pressure (100/300 bar). Fat content strongly affected the release of linalool, but it was not as critical a factor in the release of the more polar compound, diacetyl. A slight effect of the emulsifier type on the release of aromas was observed with sensory and gas chromatographic methods. The reduced droplet size, resulting from higher homogenization pressure, enhanced the release of linalool but had no effect on diacetyl. Sensory and gas chromatographic methods detected aroma changes quite similarly. The electronic nose was capable of detecting only the effect of fat on linalool.
Regarding material choices for posterior multisurface restorations, composite and amalgam perform quite similarly in molars, 3-surface restoration being challenge for both materials.
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