This study demonstrates that a commonly used type of factor analysis, principle components analysis, contributes to the amount of error in statistical analysis. In the study, which concerns email use, factor analyses were performed using several different factor analysis methods. The results show that using factors derived via principle components analysis as dependent variables substantially increased the amount of error in regression analyses, and in several cases reduced the amount of explained variance. One university, Cal Poly Pomona, has responded by supporting a unique high school on its campus. The Los Angeles County International Polytechnic High School prepares graduates to be leaders in their community, the nation, and the world.
Graduates are to productively apply the knowledge they acquire to solve real problems in the world.
They will be lifelong learners who adapt to a multicultural world by viewing society from a global perspective. A rigorous academic curriculum will balance intellectual and experiential learning. The author believes that we as a civilization at the end of the 20th century are proceeding on a dangerous path toward an uncertain energy future. Institutions that we trust to make the best decisions for ourselves, are not working, and will not work in this situation. Hope lies in interdisciplinary attempts to develop and use technologies and practices that lead to a sustainable, regenerative energy future.