Hi. I performed Fisher's exact test on a 4*2 table in SPSS, and I got a significant difference (P= 0.010) and I wonder what is 

the post hoc test to use following that? is it the adjusted standardized residuals?

and if I want to calculate the P value from the adjusted standardized residuals, what degree of freedom to use?

To my knowledge, the degree of freedom is calculated as follows: (rows number - 1) multiplied by (columns number - 1),

which means in this example a df= 3, however, most examples I found on the internet uses a df= 1 regardless

the number of rows and columns.

Thanks in advance for any help.    

Dear Bahjat,

the significant p-value of Fisher's Exact test tells you that there is likely a systematic association between your row variable and your column variable (the distribution of values in the row variable depends on the column that you look at, and vice versa) in the  population represented by the sample in your data set. What is the research question that you would like to address by a post-hoc test? If you want to further investigate the nature of the association between rows and columns, just look at the observed and expected cell counts.

Best regards

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Frank Furter
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