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.
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.
The analysis of data generated five general dimensions, describing how actors connect to promote Bangladesh's midwifery profession.
A simulation generates part dimensions based on team interaction.
Qualitative and quantitative approaches generated three dimensions (monetary and convenience advantages, personal security, and availability of products/services) involving 23 attributes and validated the assessment tool for them.
Multiple Correspondence Analysis generated 2 dimensions (49% variance), suggesting a distinction between two SIB forms: (1) high frequency of SIB to the head/hand and absence of chronic pain and (2) less frequent SIB near the site of pain.
While we assumed (w_i=l_i=1) for all instances up to (N=400) items, for the instance with (N=2000), (S=60,000) and (B=30,000) we randomly generated item dimensions with (w_i in [2,10]) and (l_i in [5,15]) to test runtime performance under more complex assumptions.
The SF-36 generates eight dimensions of health and a Physical and Mental Component Score (PCS and MCS), scale: 0 100.
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.
