Testing a model to predict online cheating—Much ado about nothing

Much has been written about student and faculty opinions on academic integrity in testing. Currently, concerns appear to focus more narrowly on online testing, generally based on anecdotal assumptions that online students are more likely to engage in academic dishonesty in testing than students in traditional oncampus courses. To address such assumptions, a statistical model to predict examin…