Sentence examples for variance in measures from inspiring English sources

Weekly behavioral observations were scored and compared between treatment means, as well as treatment variances, because stressed populations often exhibit increased variance in measures.

A study by Martin et al. [5] indicated that the Headache-Specific Locus of Control Scale (HSLC) accounted for variance in measures of depression, physical symptoms, disability, catastrophizing, medication use, and treatment preferences not accounted for by a measure of general LOC.

But they are "minute," according to a large recent study, and detectable only in very large samples, where gender accounts for a mere 1 to 2percentt of the variance in measures such as left- vs. right-hemisphere dominance or the size of specific brain structures.

In addition to having been validated in a sample of Spanish patients with fibromyalgia [ 25], this questionnaire has explained unique and significant variance in measures of adjustment when compared to the CSQ [ 6, 26].

McCracken and Eccleston [ 20, 21] each found that acceptance of pain accounted for much more variance in measures of patient functioning--including disability, work status, depression and pain-related anxiety--than did a measure of cognitive strategies.

There is evidence, too, that these changes have perceptuomotor and cognitive correlates (Volkow et al. 1998; Wang et al. 1998; Mozley et al. 2001) that can account for specific age-related variance in measures of episodic memory, verbal fluency and perceptual speed (Backman et al. 2000; Yang et al. 2003; Erixon-Lindroth et al. 2005).

Weaknesses have been stated e.g., with less cardiovascular mortality among young people or variance in measuring pet ownership [1].

Retention of the first 2 components will thus yield a model that covers 83.4% of variance in measure correlations.

The first component, PC1, represents 66.1% of the variance in measure correlations, with each successive component representing less variance, i.e. PC2 17%, PC3 9% and PC4 4%.

The MID is a statistical value arising from the variance in measure [ 8].

According to the regression analysis, 24% of the variance in measured PCE concentrations was explained by modeled concentrations (p < 0.0001).