We can still do any kinds of judgmental syntheses or analyses we want. But recognizing the similarities between qualitative and quantitative information opens up new possibilities for interpretation that might otherwise go unutilized. All quantitative data is based on qualitative judgment. Numbers in and of themselves can't be interpreted without understanding the assumptions which underlie them. We could go on and on, but my point should be clear.
All numerical information involves numerous judgments about what the number means.
The bottom line here is that quantitative and qualitative data are, at some level, virtually inseparable. Neither exists in a vacuum or can be considered totally devoid of the other. To do good research we need to use both the qualitative and the quantitative. Qualitative and Quantitative Assumptions To say that qualitative and quantitative data are similar only tells half the story. After all, the intense academic wrangling of the qualitative-quantitative debate must have some basis in reality.