@ Don Hills,
Who could resist to respond to such eloquent asking.......
The term "quantitative" describes a class of methods/tests that uses standardized procedures to get numerical results on single features (or a small number of features) that can be analyzed with the usual statistics. To this class belong the tests routinely used like ABX, AB, triangle, sort the odd one out etc. . This sort of tests is normally getting more and more precise if the sample size is raised.
The term "qualitative" describes another class, that is more interested in a descriptive and holistic assessment (as an example) of the "thing" under examination, uses questionaires and in opposite of the other class results will not getting more precise if the sample size will be raised above a certain point. Goal is to get deeper/better insight about the processes working .
There is sort of an overlap between classes, means they are not always clearly distinct, and sometimes work better if used in conjunction.
@ Blumlein88,
I don´t mind, as it is a nice example of bias at work.....
I mean, today access to the largest pool of knowledge ever is available at our fingertips; if you had just googled something like "quantitative qualitative research" .....