Sentence examples similar to structural consequences of measurement error from inspiring English sources

The availability of more than one additional measure allows us to consider the consequences of measurement error for over-identification tests for instrument validity.

Economists have devoted increasing attention to the magnitude and consequences of measurement error in their data.

These circumstances arise more often in practice and the consequences of measurement error are more serious in these situations.

Looking at measurement error in self-reported BMI specifically, Plankey et al. (1997) examine the consequences of measurement error in self-reported BMI when classifying people according to obesity status but do not consider the consequences of measurement error for regression analysis.

The sample size calculations considered the consequences of measurement error and residential mobility, which together tend to reduce the variability of population exposure.

Researchers have taken steps to deal with the consequences of measurement error by limiting the degree of error through a study's design, estimating the degree of error using a nested validation study, and by adjusting for measurement error in statistical analyses.

However, WB DF-ROM improvements were below the minimal detectable change scores needed to conclude that improvements were not a consequence of measurement error.

The consequence of measurement error in estimated distances is very similar to that of animal movement.

All data are subject to uncertainties, either as a consequence of measurement errors or as a result of stochastic variation (variation around the mean) of the underlying variables.

The measurement error associated with latent variables is usually ignored in the structural model when using sum-scores with equal amounts of measurement error for all scores on the latent variable.

This paper uses both Irish and US data to explore the nature of measurement error in self-reported BMI and to examine the consequences of this error when estimating the relationship between BMI and income.