Solved – How to report results from a Tukey post hoc analysis?

I examined all possible comparisons in the Tukey test (here is the chart – sorry it's a little unclear)

https://scontent.fybz2-1.fna.fbcdn.net/v/t1.15752-9/74701623_502065310380147_7439754835601129472_n.jpg?_nc_cat=103&_nc_oc=AQm6G2v5LQgKivpBxIXi3g_BCiOGuY7HJzHBID_OVor82oTsg9z2q-ltvUqrdZnVi4U&_nc_ht=scontent.fybz2-1.fna&oh=65a805e92c970f5c1b9b1338a6fe26ba&oe=5E534598

How do I report the findings? As in, how do I know which is significant to which. I have many significant values, but how do I know which numbers to look at to say something like ex. X4 was significantly different from X6, X1, X5, X3, and X2?

Thanks in advance!

Unfortunately, I cannot open your link as it expired. However, I believe, as POC mentioned, the easiest way to approach a Tukey-HSD test is to look at all the different variables in a table and then cross-check which variables are significant and vice versa. What program do you use?

E.g. Let us imagine a very very simple dataset consisting of daily hours of sunshine and countries. After doing an ANOVA test you realise it is significant. But, you do not know which countries differ significantly from each other. You perform Tukey-HSD test and create a table, as below.

Country               p-value     significantly different Denmark * Sweden:     0.90                  no Denmark * Egypt:      0.01                  yes Denmark * Australia   0.05                  yes Egypt * Sweden:       0.01                  yes Egypt * Australia:    0.25                  no Sweden * Australia:   0.05                  yes 

If this is not clear enlighten me in your dataset and program used, please.

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Solved – How to report results from a Tukey post hoc analysis?

I examined all possible comparisons in the Tukey test (here is the chart – sorry it's a little unclear)

https://scontent.fybz2-1.fna.fbcdn.net/v/t1.15752-9/74701623_502065310380147_7439754835601129472_n.jpg?_nc_cat=103&_nc_oc=AQm6G2v5LQgKivpBxIXi3g_BCiOGuY7HJzHBID_OVor82oTsg9z2q-ltvUqrdZnVi4U&_nc_ht=scontent.fybz2-1.fna&oh=65a805e92c970f5c1b9b1338a6fe26ba&oe=5E534598

How do I report the findings? As in, how do I know which is significant to which. I have many significant values, but how do I know which numbers to look at to say something like ex. X4 was significantly different from X6, X1, X5, X3, and X2?

Thanks in advance!

Best Answer

Unfortunately, I cannot open your link as it expired. However, I believe, as POC mentioned, the easiest way to approach a Tukey-HSD test is to look at all the different variables in a table and then cross-check which variables are significant and vice versa. What program do you use?

E.g. Let us imagine a very very simple dataset consisting of daily hours of sunshine and countries. After doing an ANOVA test you realise it is significant. But, you do not know which countries differ significantly from each other. You perform Tukey-HSD test and create a table, as below.

Country               p-value     significantly different Denmark * Sweden:     0.90                  no Denmark * Egypt:      0.01                  yes Denmark * Australia   0.05                  yes Egypt * Sweden:       0.01                  yes Egypt * Australia:    0.25                  no Sweden * Australia:   0.05                  yes 

If this is not clear enlighten me in your dataset and program used, please.

Similar Posts:

Rate this post

Leave a Comment