I think the disconnect between research findings and hunters is that they are looking at different things. For example, in the study on how bucks reacted to increased hunting pressure, GPS collar data showed bucks actually increased the average distance they travelled each day under increased hunting pressure. Why, and the reason for the disconnect, is that bucks increased the distance they travelled each day under heavier hunting pressure because they had to take a more circuitous route to get from Point A to Point B and stay within heavy cover to hide from hunters. The researcher looks at the raw data - miles travelled each day - and says, "See, bucks aren't reacting to hunting pressure like everyone thought they would." The hunters suddenly see less bucks because the bucks are winding through every little patch of cover during their daily travels to hide from hunters. The bucks are travelling more miles per day, yet hunters are seeing fewer of them. The researchers need to look at the sum-total of the data, not one little piece of the data.
In the research Bgoodman30 is referencing (and I haven't seen the study), I can guarantee you the problem is the researchers look at the raw data and find bucks don't increase the amount of time they are active during a cold snap. Yet they probably are not looking at where and when bucks are active during a cold snap. That is what hunters are interested in. If a buck sticks to thick cover and moves 6 hours a day in hot weather (much of it during cooler night-time hours), but suddenly starts moving in daylight in open hardwoods for those 6 hours after a cold front, that is night-and-day difference to a hunter, but meaningless to the researcher. The researcher sees 6 hours in warm weather and 6 hours in cool weather and proclaims, "See, no difference."