A published article ([pdf](http://wicherts.socsci.uva.nl/BakkerWicherts2011.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?