2007 Volume 3 Issue 1 Pages 123-146
Hierarchical Linear Modeling is one of the most frequently used statistical methodology for analyzing educational and developmental data which show a nested data structure, and it has been recognized that this methodology provides useful information when it is applied for analyzing large-scale educational data. However, it is unfortunate that researchers in Japan have not been exposed to this methodology much yet and thus not many studies have been conduced using this technique. There are two objectives for this article: One is to introduce this methodology to the researchers who wish to apply the technique to their research by providing two sets of typical analyses of organizational study and growth modeling using a National Education Longitudinal Study (NELS)data set. The other is to provide checkpoints of utilizing the results to educational policies from a standpoint of research design and statistical analysis.
