The figure shows the between group comparison of the three group. This is plotted through SPSS on doing pairwise comparison in nonparametric analysis. Please help me in the description of this figure.
Regards
Minaxi Saini
How about the following ?
(Copied from https://rcompanion.org/handbook/C_04.html , which I wrote.)
Box plots of XXXX across three groups. The boxes indicate the 1st and 3rd quartiles, and the dark lines indicate the median. Points more than 1.5 times the inter-quartile range away from the box are shown with hollow circles.
Make sure the last sentence is true for the way SPSS makes box plots.
From the SPSS 28 documentation:
BOXPLOT. Vertical boxplot. The boundaries of the box are Tukey’s hinges. The median is identified by a line inside the box. The length of the box is the interquartile range (IQR) computed from Tukey’s hinges. Values more than three IQR’s from the end of a box are labeled as extreme, denoted with an asterisk (*). Values more than 1.5 IQR’s but less than 3 IQR’s from the end of the box are labeled as outliers (o).
Source: https://www.ibm.com/docs/en/spss-statistics/28.0.0?topic=examine-plot-subcommand-command
See also:
- https://www.ibm.com/support/pages/boxplots-hinges-and-quartiles
HTH.
- Make sure the outlier is not a data entry error. Sometimes data values are simply recorded incorrectly. If an outlier is present, first verify that the value was entered correctly and that it wasn’t an error.
- Assign a new value to the outlier. If the outlier turns out to be a result of a data entry error, you may decide to assign a new value to it such as the mean or the median of the dataset.
- Remove the outlier. If the value is a true outlier, you may choose to remove it if it will have a significant impact on your overall analysis. Just make sure to mention in your final report or analysis that you removed an outlier.
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