A Type VI error results from inconsistency between the researchers' question of interest and the statistical procedures employed to analyze the data. An example of a research problem is analyzed to show the increase in statistical power resulting from improved research design, using multiple regression instead of analysis of variance. (CTM)

Conclusions one would make from looking at average faculty salaries in a specific department were compared with those conclusions evolving from a regression analysis of the same salaries. The standard salary study does little more than report the average salary associated with each faculty rank within each department, while a regression study…

Discusses problems in research investigating Web-based instruction (WBI) and describes a study of university freshmen that used a single-source method to test the impact of WBI on learning. Examines computer software log files and discusses results of multiple regression analyses that show use of relevant Web content does improve learning.…

To determine the factors that influence interpretation of a research study description, 8 descriptions of research studies were interpreted by 320 undergraduate students in psychology, mathematics, and economics statistics and research methods classes at the University of Victoria (British Columbia, Canada), Millersville University (Pennsylvania),…

Maintains that there is an inconsistency in the regression analysis of the data presented in Maureen J. Lage and Michael Treglia's 1996 article, "The Impact of Integrating Scholarship on Women into Introductory Economics." The authors admit the error, correct it, and report no difference in their original conclusions. (MJP)

Argues that perception studies and ranking are lacking in validity and reliability because of small sample size, simplistic statistical analyses, and the evaluation of quality by educators. It is asserted that quality control is more valid when evaluated by the customers of education, i.e., the students. (11 references) (EA)