Nearly all quantitative analyses in higher education draw from incomplete datasets-a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across…

Early and intensive behavioral intervention (EIBI) has been established as an effective treatment for autism. However, the complexity and intensity of EIBI programs make it difficult to fully report all critical aspects of the independent variable. Consequently, scientific reports of EIBI outcomes have been criticized for providing less than…

Researchers sometimes use stepwise methods to eliminate variables from analyses when the variables do not appreciably improve the ability to explain or predict inferences about the importance of various predictor variables. It is argued that stepwise methods are usually not appropriate for these purposes for three reasons. First, some researchers…

L. A. Marascuilo and R. C. Serlin (1988) note that stepwise regression is a method used frequently in social science research. C. Huberty (1989) characterizes such applications as being "common". In support of this latter statement, a review of dissertations by B. Thompson (1988) demonstrated that dissertation students frequently use…

Explores reasons for the tenuous relationship between educational research and educational practice. Suggests changes in research and policy to bring educational research directly to bear on educational problems. The major problem is that researchers are searching for variables that relate to improved outcomes, whereas educational innovators are…