Sentence examples for extraneous variance from inspiring English sources

Few of these investigations have controlled for synchronous correlations, an important source of extraneous variance in lagged associations, which may have confounded conclusions of prior investigations.

BME candidates also show a higher correlation between CSA and PACES than do white candidates, which suggests that there is less extraneous variance within the BME candidates, making it a more valid assessment.

After removing extraneous variance, students then find an average of the residual variance for each recombinant inbred strain and are ready to perform the QTL analysis, by using WebQTL from GeneNetwork (Wang et al., 2003), a web-based resource provided by GeneNetwork From the University of Tennessee (2001).

Lastly, a series of hierarchical regression analyses were conducted to assess whether Pre-to-Post changeachn eacatastrophizinging measure accounted for unique variance in the appropriate Post-to-FU change in pain ratings (clinical or cold pressor), or vice-versa, controlling for synchronous correlations and autocorrelations (that is, potential sources of extraneous variance).

Members of the research team ('analysts') identified an item as having problems or issues when an interview summary contained evidence of response error or the potential for extraneous response variance due to difficulties understanding the question, or difficulties selecting a response.

Briefly, principal component analysis (PCA) was performed to minimize noise effects and remove extraneous sources of variance, including batch effects, as well as variances related to GC percentage.

The variance matrix for extraneous random effects, Gp, is usually a diagonal matrix of scaled identity matrices.

Failure to account for extraneous sources of variation that act to artificially increase the similarity of members of a twin pair will result in biasing the variance component estimates of interest.

To distill the variance uniquely due to genetic influences on olfactory bulbs, these extraneous variables must be controlled for statistically via multiple regression.

Facets that consistently fail to account for variance in this composite are likely to be redundant or extraneous and should be excluded from the set of facets used to represent the construct.

However, it is important to remember that individual criteria are unlikely to represent the variance of the target construct very well, and therefore, significant predictive effects of redundant and extraneous elements are possible.