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Simple peer comparisons can be toxic(Chun, 2023 ). Before using this type of plot:
Have consent from participants to share results among themselves, or preferably, anonymize the data (Vilendrer, 2021 PMID 34479736 ). Consider identifyig the positive deviances, if they consent, as this allows reciprocal learning of subtle or tactic tactics (Ivanovich, 2015 PMID 26188970 ). Some groups may choose not to attribute data on the first improvement cycle until trust is obtained in the process.
Conduct the positive deviance seminar at the time, or soon after sharing data. The rational is that feedback can generate much emotion (Payne, 2016 PMID 27412170 ) and is more effective if the solution to improvement is provided(Hysong et al, 2009 PMID 19194332 ). However, these approaches are uncommonly done(Hysong et al, 2021 PMID 33830786 ).
Replace the data below in this example probability distribution with your observations or.
Upload a csv file formatted as in one of thes files: example file - proportions.csv or example file - means.csv .
Separate columns with commas. Click here to add commas.
Name, ID, group, events or mean(SD), observations,
Washington,8, 3, 17,100,
Adams, 2, 2, 10, 30,
Jefferson,12, 1, 3, 30,
Madison, 4, 2, 19,100,
Monroe, 5, 3, 60,110,
JQ Adams, 6, 3, 51,112,
Jackson, 7, 1, 45,120,
Van Buren, 1, 2, 5, 20,
Harrison, 9, 1, 60,150,
Tyler, 10, 3, 90,150,
Polk, 11, 1,140,200,
Taylor, 3, 3, 75,150,
Fillmore, 13, 3, 95,200,
Topic (for title - optional):
What is being studied? (people,sites,units,etc):
Subgroup by group (column 3)? No YES Outcome:
Type
Bad
Good
Benchmark:
Data type
Proportions
Means
Plot type
Distribution
Forest plot
X-axis limits: Display names or random identifiers (if forest plot):
No names
Names of deviants only
Names of everyone
Groups totals only
Threshold (#observations per row required for plotting on histogram):
Threshold for PDs (colors PDs green when outcome type not NA):
Plot logo:
None
KU
