The goal of this Digest is to explore some of the issues involved in data transformation, with particular focus in the use of data transformation for the normalization of variables. The Digest is intended to serve as an aid to researchers who do not have extensive mathematical backgrounds or who had not had extensive exposure to this issue. It…

Thoughtful, well-planned and systematic reviews of both instructional and noninstructional programs provide community colleges with a way of determining whether programs are meeting stated objectives and what standards of performance should be maintained. Programs that need improvement or should be eliminated can be identified, and fiscal…

Too few researchers understand what statistical significance testing does and does not do, and consequently their results are misinterpreted. This Digest explains the concept of statistical significance testing and discusses the meaning of probabilities, the concept of statistical significance, arguments against significance testing,…