A published article (pdf) contains these 2 sentences:
Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an $F$ test, or the researcher may divide the reported p value of a $\chi^2$ or $F$ test by two, in order to obtain a one-sided $p$ value, whereas the $p$ value of a $\chi^2$ or $F$ test is already a one-sided test.
Why might they have said that? The chi-squared test is a two-sided test. (I have asked one of the authors, but gotten no response.)
Am I overlooking something?