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Three criteria were applied to assess convergent validity: internal consistency, indicator reliability, and average variance extracted (AVE).
In accordance with the overall adherence score, the overall consistency measure was determined by calculating the average of the three consistency indicator scores.
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Duplicate object detection finds whether there is a data duplication or inconsistency, or other issue based on the data volume and consistency indicators.
Internal consistency – an indicator for the homogeneity of a questionnaire - was assessed with Cronbach's alpha and 95% confidence intervals (95% CI's).
A consistency index (see Materials and Methods) was used as an indicator of homogeneity.
Our latent constructs have values that are acceptable and show consistency of indicators in the measurement.
The Cronbach's alpha for nine indicators was 0.622, indicating internal consistency of the indicators and justifying their use in a summated scale.
Specifically, within RM, there is a completed analytical paradigm, in which internal consistency is indicated by common indicators such as CITC and Cronbach's α.
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).
Consistency was measured as the absence of extreme outliers, internal consistency between related indicators, and consistency of indicators over time.
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.
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CEO of Professional Science Editing for Scientists @ prosciediting.com