A Framework for Finding Statistically Significant Differences

In the questionnaire analysis, finding whether there is a statistically significant difference between two or more groups in a continuous measure is one of the major problems in researches. However, it is difficult for researchers to solve the issue of finding possible statistically significant difference, namely “Statistically Significant Difference Unawareness Issue”. There are two causes to lead to this issue. The first is that the process of finding the statistically significant differences is highly dependent on researchers’ intuition and experience, and the second is that the original questionnaire data may be not good enough to find the statistically significant differences. In order to solve the Statistically Significant Difference Unawareness Issue, we apply the data warehousing technique and propose a discovery-based framework to help researchers find the possible statistically significant differences. In this framework, three kinds of indicators, Increase, StepDown, and Dice, are designed to explore the data and assist researchers making decisions at different situations.