Verbal Protocols of Reading: The Nature of Constructively Responsive Reading
by Michael Pressley, Peter Afflerbach
Category: Education

Researchers from a variety of disciplines have collected verbal protocols of reading as a window on conscious reading processes. Because such work has occurred in different disciplines, many who have conducted verbal protocol analyses have been unaware of the research of others. This volume brings together the existing literature from the various fields in which verbal protocols of reading have been generated. In so doing, the authors provide an organized catalog of all conscious verbal processes reported in studies to date -- the most complete analysis of conscious reading now available in the literature. When the results of all of the studies are considered, there is clear support for a number of models of reading comprehension including reader response theories, schema perspectives, executive processing models, and bottom-up approaches such as the one proposed by van Dijk and Kintsch. The summary of results also demonstrates that none of the existing models goes far enough. Thus, a new framework -- constructively responsive reading -- is described. This new model encompasses reader response, schematic and executive processing, and induction from word- and phrase-level comprehension to higher-order meaning. The important concept in this new model is that readers respond to bits and pieces of text as they are encountered, all as part of the overarching goal of constructing meaning from text. This volume also includes a critical review of the thinking aloud methodology as it has been used thus far. This examination suggests that it continues to be an immature methodology, and that much work is needed if a complete theory of conscious processing during reading is to be developed via verbal protocol analysis. Finally, after reviewing what has been accomplished to date, the authors provide extensive discussion of the work that remains to be done and the adequacy of the verbal protocol methodology for permitting telling conclusions about text processing.