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"With enough data, error goes away.
The sample size was estimated in order to measure the prevalence (50%) of the 'patient expectations' items (categorical data) with a margin of error less than 5%.
The sample size was estimated in order to measure the prevalence (50%%) of the « patient expectations » items (categorical data) with a margin of error inferior to 5%%.
In addition, item error variances and error covariances between related items were set to vary freely.
"This is not a data processing error.
Therefore the item error invariant model was more appropriate.
Speech error analyses showed that errors were better described as phoneme rather than item ordering errors.
These reports include a review of item non-response, data accuracy, coding errors, and other data quality issues (a full overview of data quality can be found at http://www.cihi.ca/omhrs).
FCD for items present in two or more of the databases were once again cross-checked for data editing errors.
Others could simply be data entry errors.
Missing item-level data are commonly reported.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com