Sentence examples for measure different abilities from inspiring English sources

In her 1997 paper "You Can't Take It with You: Why Ability Assessments Don't Cross Cultures," the American psychologist Patricia M. Greenfield concluded that a single test may measure different abilities in different cultures.

These assessments therefore measure different abilities which may be affected by different socioeconomic factors.

The experimental psychology literature on mental imagery is extensive and a considerable array of different measures have been reported to measure different abilities within the sphere of mental imagery (Logie, 1995; Pearson, 2007; Pearson, De Beni, & Cornoldi, 2001).

This indicated that while each sub-scale measured different abilities of child development, the full scale provided a measure of holistic child development.

The pattern of associations between the neurocognitive tests ranged from low to modest in strength (Table 5), indicating that these cognitive tests do measure different cognitive abilities in both groups of children.

Thus, the TEAP Writing and the TOEFL iBT Writing seem to measure slightly different abilities, and this might have led to the low correlation of the measurement errors for writing between the two tests.

In addition to measuring different cognitive abilities, the heritability of the WISC-III IQ-scales is dissimilar.

This result suggests that the home-cage running-wheel and rotarod test measure different and independent motor abilities.

The two detectors have much in common, including "onion layers" of instruments to measure different particles and the ability to cope with harsh radiation and vast amounts of data.

Better understanding of the role of germane cognitive load, as well as our abilities to measure different types of load and high-level cognitive processes are essential for further progress in this area.

It is an argument enabled by the improved ability to measure different elements of the game – defense, base running, and situational hitting – that were once weak points of statistical analysis.