Which of the following is NOT typically included in a chi square APA write-up?

In an APA write-up for a chi-square analysis, the expected or observed counts are typically not included in the main results section. Instead, the write-up focuses on summarizing the key statistics that indicate the outcomes of the chi-square test. These key statistics include the chi-square value, degrees of freedom, and statistical significance.

The chi-square value indicates the magnitude of the difference between observed and expected frequencies, while the degrees of freedom provide context for how many categories or groups were analyzed, helping to determine critical values against which the chi-square statistic can be compared. Statistical significance shows whether or not the observed data significantly deviates from what was expected based on the null hypothesis.

In contrast, while expected and observed counts are important parts of the analysis process and are often included in tables or supplementary materials, they are not usually required in the narrative write-up that communicates results in a succinct manner. Consequently, focusing on summarizing the main statistical findings makes the write-up clearer and more accessible for readers, which is why expected or observed counts are not included in the main text of a chi-square APA write-up.