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Our latent constructs have values that are acceptable and show consistency of indicators in the measurement.
Consistency was measured as the absence of extreme outliers, internal consistency between related indicators, and consistency of indicators over time.
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The Cronbach's alpha for nine indicators was 0.622, indicating internal consistency of the indicators and justifying their use in a summated scale.
When we included these items the Cronbach's alpha was below 0.5 and Kaiser-Meyer-Olkin measure of sampling adequacy was less than the recommended 0.6, indicating non-internal consistency of the indicators meaning that they cannot be on a summated scale.
Therefore, the results showed that the internal consistency of multiple indicators for each construct was good.
Factors assessed included completeness and internal consistency of 10 indicators selected based on WHO recommendations and priority areas for the Rwanda national health sector.
The consistency of the indicators was verified by Chesters (2010); Inglehart and Norris (2003); Luck and Hofacker (2003); Motiejunaite and Kravchenko (2008); Westoff and Higgins (2009) through the application of Cronbach's alpha, which may also be questioned (see Bentler 2009; Sijtsma 2009).
There was not consistency in application of indicators.
Both quantitative (number) and qualitative (quality in terms of coherency, consistency and completeness) aspects of indicators for addressing environmental, economic and social issues are considered.
However, given the consistency of our results across the indicators, a composite indicator looking at multi-dimensional deprivation would very likely give a similar or stronger effect.
Some indicators could not be included in the mean scores due to low internal consistency with other indicators or use of subsamples: diabetes indicator 5, COPD indicator 3 and CVD indicators 4, 5 and 6 (Table 1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com