Traffic calming measures had poor percent agreement for both intra- and inter-rater agreement (55 and 63.2 %, respectively), as did pedestrian safety features (65 and 73.8 %, respectively).
Until recently, however, these data did not receive much attention in the context of psychiatric disorders, mostly because these measures had poor spatial and temporal resolution and were therefore considered functionally vague.
If the effect size is moderate, more conclusions are possible: either the effect is moderate and the outcome measure is responsive, or the effect is large or small and the outcome measure has poor responsiveness because the true effect is over- of underestimated by the instrument.
Self-report measures have inadequate reliability and poor distributional properties.
Further, prior studies report on measures that have poor evidence for validity and reliability [ 32, 35, 36, 41], focus on singular aspects of quality of life (e.g., distress [ 37, 38, 41]), ignore key components of quality of life such as physical and social functioning [ 9], or include several items that are not diabetes-specific [ 9].
Our novel finding that perceived and measured frailty have poor correlation provides evidence that providers and patients are inaccurate in assessing physiologic reserve and ability to respond to stressors in the same manner as a validated measure of frailty.
The White Paper considers difficulties associated with inappropriate use of health status measures and misinterpretation of utility values as QoL measures: evidence suggests they have poor validity in MD.
While the evidence suggests that MDS data can perform as expected in research studies, selected quality measures have been shown to have poor sensitivity in measuring quality[ 16, 18].
And punitive trade measures have a poor track record.
Second, we only have poor measures of contextual variables.
