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Using this procedure, it was established that for subscale 1, no missing data could be tolerated, for subscale 2, one item of missing data could be tolerated and, for the single scale, up to three items of missing data could be tolerated before alpha fell below 0.7.
We recommend that AWI is calculated as the mean of the completed domains with no more than one item of missing data, if the desired alpha level is 0.9, or up to 10 missing values, if the desired alpha level is set at 0.8, which is very acceptable for most research purposes involving group comparisons.
A total of 50 imputations were used to inform each item of missing data.
This repeated the random imputations for each item of missing data 10 times so that standard errors of all estimated parameters could be adjusted appropriately [ 50].
The whole 25-item scale was found to be reliable at alpha ≥ 0.9 with maximum one item of missing data and reliable at alpha ≥ 0.8 with up to 10 items of missing data.
The 15-item Impact-Other subscale was reliable at alpha ≥ 0.8 with maximum four items of missing data, but the 10-item Impact-Self subscale was reliable at alpha ≥ 0.8 with no item of missing data.
Similar(54)
The proportion of shifts where nurses observed at least one item of missed care were compared across groups using the Pearson χ test.
Summary statistics for the number of items of missed care observed during a shift and the proportion of shifts where at least one item of missed care was observed by each independent variable are shown in table 2 based on cases with complete data from wards with two or more responding nurses.
Cases with more than the maximum acceptable number of items of missing data should be removed from the dataset before analysis.
Analyses were carried out to establish how many items of missing data could be present before the alpha fell below 0.7.
We replaced items of missing data with the mean.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com