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Since the primary methodological technique used in building the measurement model was to be factor analysis, it was necessary to test the data for suitability with regard to the underlying assumptions.
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The chemical data were checked for suitability for domestic purposes based on recommendations of WHO (2011).
Data were assessed for suitability for meta-analysis, but this was not possible due to methodological heterogeneity.
These chronic/cancer data were analyzed for suitability as anchoring end points based on incidence, target organ, severity, potency, and significance.
Using the calibration sample, the data's suitability for factor analysis was checked, an EFA was run on each set of items, and an initial model was proposed.
This confirmed the high quality of the sequencing data and suitability for further analysis.
Currently, HRQL assessments in MCI and mild AD are based largely on existing AD measures with little psychometric performance data on suitability for measurement of milder levels of impairment.
Before PCA, the data's suitability for factor analysis (EFA) was assessed using Bartlett's test of sphericity, which tests the overall significant differences in the correlation matrix, and the Kaiser Meyer Olkin (KMO) test to check that the sample adequacy was appropriate [ 36, 37].
The suitability of data for factor analysis was assessed and the derived Kaiser-Meyer-Oklin value was 0.88, exceeding the recommended value of 0.6 (Kaiser 1970 , 1974.
The suitability of data for t test is determined by fitting the entire 61-channel SE data to normal distribution, and goodness of fit is evaluated using Kolmogorov Smirnov test.
The suitability of data for factor analysis was assessed.
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