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Other indicator sets were used as reference to determine this number.
At Stage III, eight indicator sets were defined (i.e., indicator sets assigned to each of the four CAM features, separately considering direct interview and observational indicators).
When we rejected the assumption of unidimensionality, the indicator sets were split into m sub-sets to achieve sufficiently unidimensional indicator sets for IRT-based data analyses.
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The discrepancy to other indicator sets is due to different understandings and operationalizations of sustainable development and varying objectives of the indicators.
As an outcome, indicator sets are identified that support the designer in keeping track of the overall sustainability of electronic products.
The NI framework could be implemented in two different areas by two independent teams, and the two resulting indicator sets are likely to differ.
(The other indicators in multiple indicator sets are typically given free loadings and measurement error variances).
In the Dutch setting, these national indicator sets are agreed upon by all the stakeholders involved in the transparency debate.
Our results reveal an unsettling lack of concordance in estimates of hospital performance when different quality indicator sets are used.
Although the Dutch process of developing national indicator sets is still in full swing, we can draw some preliminary conclusions with respect to measuring patient experiences.
Several quality indicator sets are on the market that measure and assess the quality of hospital acute care provided for inpatients.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com