Hello Heather. In my first response (just a few minutes ago), I suggested

lack of Admin rights as a possible reason for the problem you're having. In

this post, I'm asking for more detail about your data. If you have a 2x2

table and are using Fisher's exact test because one or more of the expected

frequencies are low, it may be that you'd be better off using the N-1

Chi-square test. See Ian Campbell's website (and Statistics in Medicine

article) for more details.

https://www.iancampbell.co.uk/twobytwo/twobytwo.htmHere is Campbell's advice from the top of that page:

--- start of excerpt ---

The best policy in the analysis of two-by-two tables is:

(1) Where all expected numbers are at least 1, analyse by the 'N - 1'

chi-squared test (the K. Pearson chi-squared test but with N replaced by N -

1).

(2) Otherwise, analyse by the Fisher-Irwin test, with two-sided tests

carried out by Irwin's rule (taking tables from either tail as likely, or

less, as that observed).

These recommendations apply to data from either comparative trials or

cross-sectional studies, and update those of Cochran (1952, 1954).

--- end of excerpt ---

Regarding that last sentence, it is saying that the advice applies to study

designs where the marginal totals are not fixed in advance. When the

marginal totals are fixed in advance, Campbell advises using Fisher's exact

test, or the Fisher-Irwin test as he calls it. (He calls it that, because

J.O. Irwin also worked out the same test independently of Fisher, but rarely

gets remembered nowadays.)

https://en.wikipedia.org/wiki/Joseph_Oscar_IrwinFinally, if you do want to use the N-1 Chi-square test, notice that for 2x2

tables, the test of "linear-by-linear association" in the CROSSTABS output

is equivalent to the N-1 Chi-square.

Busing FM, Weaver B, Dubois S. 2 × 2 Tables: a note on Campbell's

recommendation. Stat Med. 2016;35(8):1354-1358. doi:10.1002/sim.6808

HTH.

-----

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Bruce Weaver

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http://sites.google.com/a/lakeheadu.ca/bweaver/"When all else fails, RTFM."

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