Sentence examples for wide representativeness from inspiring English sources

The benefits of using Google Scholar virtual corpus are the following: 1) wide representativeness of written academic language, 2) possibility of capturing subtle variation in academic patterns, and 3) possibility of comparing linguistic patterns across different academic fields.

Modern ECCE research began with the birth of the U.S. Head Start program in the 1960s; however, policy makers and the public paid little attention to it until several studies that had random assignment or wide representativeness received wide but targeted dissemination to them.

The Chicago study has city-wide representativeness of a type of early childhood program and the population of children it serves, but at the cost of random assignment.

It would be desirable to ascertain the wider representativeness of the results by analysing accident data from other countries in a similar manner.

The genome-wide representativeness of these 199 SNP markers for the whole genome in population genetic studies was confirmed using heterozygosity-heterozygosity correlation [ 48]: mean internal relatedness = 0.78, lower bound of 95% confidence intervals from 1000 bootstrap replicates (cil) = 0.444; mean homozygosity by loci = 0.86, cil = 0.596; standardised heterozygosity = 0.87, cil= 0.632.

The sample was small, comprising only 100 MCI individuals with subtle cognitive deficits (mean MMSE 27.4) and who were motivated enough to volunteer for the study, and, thus, their wider representativeness is not clear.

On the other hand, scientific plots do not have the same wide distribution and representativeness as commercial forest inventory data and often suffer from the 'majestic forest' effect.

10 This method is designed to represent a wide range of experiences, rather than aiming at numerical representativeness.

Scale issues have wide-ranging effects from the representativeness of data used to validate models to aggregation errors introduced in the model structure.

Nevertheless, the quantitative methods are useful to approach wide-encompassing phenomena with probabilistic representativeness.

According to the Central Limit Theorem, the accuracy of this similarity-based search for candidate SNP markers should increase as the number, diversity, representativeness, and completeness of genome-wide maps increase [ 67].