Faulty premise, and one that is the underlying problem of traditional market research/survey design. The methodology that I use does't "expect" anything in particular.
The only way to find something... is to avoid the temptation to look for something
else.
You make my point. The terms are not easily distinguishable, are frequently synonymous in the way they are commonly interpreted, and ambiguous. All that is being measured is the association of a specific word with diving, not the respondents actual attitude or individual experience. Perhaps nothing more than a measure of what word might best be employed in a marketing context
Your faulty premise, I think. The result of a survey is obviously never presumed, never anticipated or expected. What is a proper expectation, in fact a prerequisite if the survey is to have any validity, is that the tester and the respondent have a common understanding of the essential terminology. Otherwise the classic measure of validity is not met; the test is not measuring what it was designed to measure.
This is basic stuff, Statistics 101, means, medians, and modes; reliability and validity.
---------- Post added February 25th, 2014 at 09:26 PM ----------
Damn! And here I've wasted 25yrs doing cutting-edge marketing research... when I should have been doing basic math and statistics.
:d
Don't confuse "data" with "insights" nor "numbers" with "findings."
Emotions, attitudes, behaviors, motivators, barriers, beliefs -- the stuff of marketing -- are not logical, they are not linear, they are not formulaic. There is no mean, median, mode, or standard deviation in the type of inductive methodologies that we use. We'll leave that basic stuff to the statisticians.
"Otherwise the classic measure of validity is not met..."
Had a professor in graduate school who told us of a project that he worked on as a consultant. Client called them in to determine why a product launch - a new dog food - didn't meet their sales forecast. It wasn't even close... an abysmal failure in fact. The client was perplexed. They had done several rounds of quantitative positioning work. The brightest finance/econ modelers had performed price elasticity studies across various scenarios. Packaging was tested and refined. Ad tests were done to determine mean reach/frequency requirements. Media models quantified necessary spend levels for base, optimal, and stretch cases. Retail penetration models suggested it would be the market leader very quickly. Only one problem - which the marketing consultants figured out on the second day - the dogs didn't like it.
Marketing failure is most often rooted not in having failed to find the right answer, but rather in assuming you were asking the right question.
This is not to suggest that the basic quant stuff is not important. Merely that you cannot start there. Inductive research is intended to help you create a theory, and deductive methods can only help you validate the theory.