Sentence examples for generate dimension from inspiring English sources

Standard syntax was used to calculate SF-36 scores where responses were summed and transformed to generate dimension scores ranging from 0 (poor health) to 100 (excellent health).

The responses to questions within each dimension are summed and transformed to generate dimension scores from 0 to 100, with 0 indicating the lowest level of function (representing severe disability) and 100 indicating the highest level of function (representing no disability) and 50 indicating the average score.

He and a colleague, Dr. Jing Wang, along with Dr. Stefan Pokorski of Warsaw University and Dr. Hsin-Chia Cheng of the University of Chicago, independently came up with a similar scheme for generating dimensions from particles.

However, this limitation should be moderately weighed because the use of the Cronbach α to assess the psychometric qualities of a HRQoL questionnaire might be inappropriate when the construct validity generates dimensions with few items.

The legitimacy of adding up items to generate total dimension scores was tested by examination of item means, standard deviations and corrected item-total correlation within each dimension.

The analysis of data generated five general dimensions, describing how actors connect to promote Bangladesh's midwifery profession.

In this paper, a hybrid approach of image scanning and aggregate packing is developed to randomly generate two-dimension digital specimens of asphalt concrete for virtual testing.

36 Nineteen items generate seven dimensions: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication and daytime dysfunction.

37 Three scoping reviews sought to generate 'five dimensions of safety' 21 to capitalise on learning from the Mid-Staffordshire Inquiry 41 and the Berwick report, 42 achieving political salience in preference to theoretical adequacy.

Training of the algorithm will be carried out using the newly generated higher dimension input data matrix and an optimized relation between the output and input variables will be generated using RLS.

Data generated with dimension P = 22,000.