The purpose of this research was to clarify the statistical quality factors deciding the level of satisfaction among users of the statistics of nationwide survey research. The following six were the factors deciding the statistical quality: relevance,...
The purpose of this research was to clarify the statistical quality factors deciding the level of satisfaction among users of the statistics of nationwide survey research. The following six were the factors deciding the statistical quality: relevance, accuracy, coherence, timeliness/punctuality, comparability, and accessibility/clarity.
To investigate the level of users' satisfaction, 130 individuals were sampled from the user list of National Survey of Lifelong Learning, provided by Korean Educational Development Institute. The results of this research were as follows:
First, high in general was the level of satisfaction of National Survey of Lifelong Learning users, which was estimated properly even though it was based on the new statistic data in 2007.
Second, discriminant analysis was performed to clarify statistical quality factors of users' satisfaction level for distinguishing users' group characteristics. As a result, it turned out that accessibility/clarity among the statistical quality factors were the best factors to distinguish professional users from common ones.
Third, ranking lists of statistical quality dimensions affecting the level of satisfaction of National survey of lifelong learning users were accuracy, relevance, accessibility/clarity, and timeliness/punctuality.
When viewing of National survey statistics based on statistical examples of National Survey of Lifelong Learning, most users of National survey statistics wanted to take enough accurate information which they expected from a number of statistical data. Thus, National agencies preparing statistical data should examine users' satisfaction level of statistics and conduct rational and consistent statistical quality management continuously.