Sentence examples for variance in measures of from inspiring English sources

Considerable variance in measures of functional capacity was also accounted for by a limited number of tests.

Pain-related fear explained a significant proportion of the variance in measures of psychological disability (pr(2) = 0.07) and walking at a fast speed (pr(2) = 0.05).

Results suggest that pain catastrophizing explained a significant proportion (all Ps < or = 0.05) of variance in measures of pain (partial r(2) [pr(2)] = 0.10), psychological disability (pr(2) = 0.20), physical disability (pr(2) = 0.11), and gait velocity at normal (pr(2) = 0.04), fast (pr(2) = 0.04), and intermediate speeds (pr(2) = 0.04).

Results of regression analyses showed that religious coping accounted for significant unique variance in measures of adjustment (stress-related growth, religious outcome, physical health, mental health, and emotional distress) after controlling for the effects of demographics and global religious measures (frequency of prayer, church attendance, and religious salience).

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.

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].

For example, a meta-analytic review in the psychology field demonstrated that the TPB can explain 20% of the variance in prospective measures of the actual behaviour of individuals [ 12].

However, according to the literature TPB is capable of explaining 20% of the variance in prospective measures of actual behaviour (and 27 to 39% of intention) [ 15- 18].

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.

Together, this regression method is designed to show which variable set accounts for the largest increment of unique variance in the measures of pain and functioning.

Our analyses demonstrated that most of the variance in repeated measures of OP and pyrethroid metabolites was attributable to within-subject variability in both the first and last voids of the day, with some variation in the extent of within-person variability according to season.