Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…

Technological advances in microcomputer hardware and software, including size of memory and increasingly more sophisticated statistical application packages, create a new era in educational research. The alternative to costly main-frame computer data processing and statistical analysis is explored in this paper. In the first section, typical…

As part of an effort to reduce high school dropout rates in large city school districts, Phi Delta Kappa, the National Association of Secondary School Principals, the Council of Great City Schools, and a group of large city school districts undertook an effort to determine baseline statistics in high schools in large cities by using standardized…