Gilliam Sara, Magliano Joseph P, Millis Keith K, Levinstein Irwin, Boonthum Chutima
Department of Psychology, Northern Illinois University, DeKalb, Illinois 60115, USA.
Behav Res Methods. 2007 May;39(2):199-204. doi: 10.3758/bf03193148.
We are constructing a new computerized test of reading comprehension called the Reading Strategy Assessment Tool (R-SAT). R-SAT elicits and analyzes verbal protocols that readers generate in response to questions as they read texts. We examined whether the amount of information available to the reader when reading and answering questions influenced the extent to which R-SAT accounts for comprehension. We found that R-SAT was most predictive of comprehension when the readers did not have access to the text as they answered questions.
我们正在构建一种名为阅读策略评估工具(R-SAT)的新型计算机化阅读理解测试。R-SAT引出并分析读者在阅读文本时回答问题所生成的言语记录。我们研究了阅读和回答问题时读者可获取的信息量是否会影响R-SAT对阅读理解的解释程度。我们发现,当读者在回答问题时无法看到文本时,R-SAT对阅读理解的预测性最强。