I am trying to understand a result from an academic article analysing paragraphs of text. It reports a significance of p < .001, which is obviously strongly significant. Unfortunately, I cannot replicate this calculation. I assume that this is due to my limited knowledge of statistics, but I would like to rule out author error.
In the text, the author reports that any of the features of interest was more likely to occur than no feature of interest: 48 paragraphs with features, 12 features without, p < .001. No further details are given. This is the finding that I am interested in.
There is a table that reports the occurrence of all the features across multiple genres of text. I cannot replicate the calculation for degrees of freedom displayed here and a chi-square test seems inappropriate for such low values. (The variables have been anonymized but the values are unchanged.)
What significance test might have provided the p < .001 finding?
How could the chi-square value for the table have been calculated?
Is there an obvious justification for using a chi-square test with such low values?