Sentence examples for explanations for variance from inspiring English sources

This paper critically discusses political opportunity structure theory and defends alternative explanations for variance in levels of ethnic protest among migrants.

This analysis is conducted with data for seven countries between 1975 and 2005, and allows us to test explanations for variance in migrant protest across time.

Explanations for variance are likely multi-factorial, the results of this research suggesting individuality of curricula, resourcing issues, student cohort size and methodological preferences.

The authors of the study acknowledge that adrenarche could have been a possible explanation for variance in prepubertal insulin resistance; appearance of axillary hair and dehydroepiandrosterone sulfate measurements, which would have been wonderful to look at in longitudinal data, were not done in this study.

The ones that met the minimum quality threshold suggested there was vaguely, possibly, around a 15% increase in the number of children without dental caries in areas with fluoridated water, but the studies generally couldn't exclude other explanations for the variance.

There have been many alternative explanations for the variance to mean power function, some that represented approximations and others exact models [reviewed in [ 9]].

Purported explanations for the variance in expression kinetics and subsequent ISG expression (see below) may include: transcription factor differences in specific cell types; the presence of SNPs regulating IFNL expression (cell types have rarely been genotyped to determine the background of the original cell); regulatory feedback loops; receptor expression, and receptor binding affinity.

In order to estimate the effect of the genotype at SNP BIEC2-620109, performances were analyzed using a multi-trait model (see explanations for the variance-covariance matrices above) with the same groups of traits as those used to calculate the genetic parameters for the entire dataset (listed above), and the same variance-covariance matrices for genetic values and residuals.

In conclusion, this study demonstrates the powerful nature of the ASA classification for explanation of variance of length of stay for hospitalized patients.

For the outcome variables, explanations of variance by Konkoor scores were greatest for the CBSE, followed by msGPAs and the CPIE, respectively.

The overall explanation of variance for HRQOL is between 50% and 64%.