Study: Academic researchers exaggerate study results

A recent study determined that studies tend to exagerate results. Hmmmm. Are they serious? Do liars lie about lying?

Perhaps there is the likeliness of lack for understanding the antithesis stages.
1. the prediction is not a fact until the hypotheses proves it.
2. always measure your response for quantity and quality.
3. understand what he or she is seeking;while working to stay away from discriminationatory results.
4. decide what type of sample is going to be employed. The correct usage for measurement.nominal or ordinal;continous, discrete.standard deviations
5. understanding to install control levers in the study. (set the environment for saftey, but understand the applications and tools for the specified setting.)
Most importantly, the decision of how you intend to gain the populations response.

I hope some of these ideas continue the works of research in learning hospitals. Now that it appears that unprepared measures are undesirable.

Lastly, confidentiality is a must. Always protect your populations identity and rights, before, after and during all studies.