in the descriptive table, how would you interpret the p-values of the descriptives of your sample?
For instance, if there was a p < .001 between three levels of poverty, how would this be interpreted if the outcome was hypertension. There were significant differences in hypertension among the three levels of poverty?
I would greatly appreciate if you could give a better example so I can understand the idea of p-values in table 1.
A p-value of less than .001 (p < .001) indicates that the observed differences in hypertension prevalence among the three levels of poverty are unlikely to have occurred by random chance alone. In other words, the results are statistically significant.
Interpretation: Since the p-value is less than .001, it suggests that there is strong evidence to reject the null hypothesis, which typically assumes no difference between groups. In this case, it would imply that there are indeed differences in the prevalence of hypertension across the three levels of poverty.
It would be beneficial to conduct additional tests to explore the nature and magnitude of these differences further. This could involve pairwise comparisons between specific poverty levels to identify which groups differ significantly from each other in terms of hypertension prevalence.
I agree with Andre, and I have a comment. When there are three or more categories, sometimes, the prevalence of hypertension does not increase or decrease in a consistent manner (knowing that the p-value is significant). So, it may be high, then decrease, then rise again. So, how to interpret this? I usually compare with the prevalence of the whole sample and see in which category it is higher or lower than that prevalence. Some researchers compare each category with the other categories (after combining all the other categories in one category). So there will be a p-value for each category.
I agree with Andre, and would also add a note that the level of significance can also vary upon the model being tested and the statistical test used.
If the p value is 0.05 or lower than that value represent that the value is considered to be drastically significant.
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