I have obtained a Pearson's Chi-Square test statistic value of $0.065$, for $1$ df, and a $p$-value of $0.799$.
Comparing my calculated $\chi^2$ test statistic with the critical value in the $\chi^2$ distribution table value for $1$ df ($0.00393$ for $95\%$ confidence), I would assume my Chi-Square test statistic is significant (because it is greater than the critical value)?
However, the $p$-value being greater than $0.05$, makes me think otherwise. I also doubt this result because the proportions are equal in the cross-tabulated table (no difference between answers in my survey).
Therefore I am confused and do not know whether my $\chi^2$ statistic is significant or not. The only thing I think I am doing wrong is reading the wrong critical value of the $\chi^2$ distribution table. I conducted these Pearson $\chi^2$ tests using SPSS software - I assumed it would be at the $95\%$ confidence, but perhaps I am wrong and it is a standard to set the $99\%$ confidence?