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Moulthrop and Kaplan question statistics

In "Seeing through the Interface: Computers and the Future of Composition," Nancy Kaplan and Stuart Moulthrop question the statistics and quantitative findings published by Marcia Peoples Halio in her article "Student Writing: Can the Machine Maim the Message?":

<1> Halio used a number of quantitative measures to suggest that writers who use the Macintosh do not write as well as IBM PC users. For a number of reasons Halio's statistics are incomplete and provide inadequate foundations for her claims. First, the results she presents are not subjected to any test of statistical significance, such as the Analysis of Variance (ANOVA), to account for the strength of chance in variations. Second, the sample size (ten essays from each test group) may have been too small to be representative. Halio provides no details on the size and breakdown of the population she observed, but if there were one hundred students using each type of computer and if each wrote five essays during the term (a total production of five hundred samples for each group), then the number of essays evaluated (ten) would represent only 2 percent of the writing. A sample that small might be representative, but only if it were carefully controlled for extraneous variations. Were the essays Halio assessed all selected from the same point in the term? Were they written in response to the same assignment? Were the ten in each group selected proportionally from all the test classes--two from each class in each condition--to control for teacher effects? Without controls on these influences we have no way of reliably attributing weaker writing to the use of a particular computer.

<2> Halio relied on the Kincaid readability scale incorporated in the Writer's Workbench analysis program to evaluate the importance of the variations in writing she found. The scores suggest that the Macintosh samples were readable at just below an eighth grade level and the IBM samples at slightly above the twelfth grade level. Readability tests rely on quantifiable stylistic measures, such as sentence length and clause type. Halio associates longer and more complex sentences with better writing, but her interpretation may be faulty. In an analysis of topical structure in writing, Witte found texts with less complexity and shorter sentences easier to read and understand. Distrusting quantitative methods, many composition specialists prefer evaluations by human raters who can take into account content, purpose, audience, and other features of the rhetorical situation. Even if we accept these stylistic analyses as meaningful, they do not imply, as Halio seems to assume, that Macintosh users are less "mature" than IBM users. Readability scores do not indicate the level at which a writer reads but the level at which (in the prose being analyzed) he or she has written. A good writer's choice of level is contingent on subject matter, audience, and purpose. Although it takes some effort, even a professor of English can produce copy readable at an eighth grade level. Readers might not judge this prose weaker than more complex, erudite writing.(257-258)

Return to the critiques of Halio.
Move on to Moulthrop and Kaplan's Works Cited.
Move on to the conclusion, or return to Not Maimed but Malted.
Return to Daniel's home page or the CWRL home page.
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