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Table 3 presents the freely estimated and the constrained longitudinal measurement models for each measure.
A linear approach was noted for each measure.
Prevalence and magnitude was calculated for each measure.
Touch key locations providing good usability ('good regions') were also identified for each measure.
We then averaged the scores for each measure to arrive at an overall ranking.
In total we run 6 regressions, 2 for each measure of financial development.
When the judgments of duplicates were removed, there were 867 data points for each measure.
The results for each measure range between 0 (worst) and 1 (best).
The two best values for each measure have been highlighted in Table 1.
(See Fig. 5b for the 95% confidence intervals of the difference scores for each measure).
Table 2 also illustrates the computational time of a single distance calculation for each measure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com