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Home CCSU Theses & Dissertations Miscue analysis in Spanish II and Spanish III

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Miscue analysis in Spanish II and Spanish III

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Identifier	Thesis 2071
Author	Rumpf, Carole Elizabeth,1950-
Title	Miscue analysis in Spanish II and Spanish III
Publisher	Central Connecticut State University
Date	2010
Resource Type	Master's Thesis
Notes	The written work of high school Spanish II and Spanish III students is characterized by and suffers from frequent miscues, or errors. When selected miscues are identified, re-taught and revisited, the result may be improved application of correct forms in subsequent written assignments. A review of the literature indicates there is evidence to support the use of miscue analysis, a technique used to better understand errors in reading and to improve the skills of struggling readers. The connections between reading and writing skills provide the basis for using a reading-improvement strategy with written work. Miscue analysis brings written errors into sharper focus by observing and tracking students‟ work. It can be helpful in identifying: a) frequently committed errors, b) the context in which written errors commonly appear, and c) how re-examining the errors impacts students‟ performance. Miscue Analysis in Spanish II and Spanish III examines six specific miscues that students in Spanish II and Spanish III classes made in their written work during the 2008-2009 school year. The six chosen miscues were among the most glaring mistakes made in these levels of Spanish. Miscue data was collected from assigned tasks in three categories: 1) periodic compositions, 2) homework assignments, and 3) dictations. Students‟ written work either provided evidence of general understanding re: a particular concept, or evidence of misunderstanding/no comprehension of a topic. Analyzing the miscues and re-examining the core concepts associated with the miscues was the strategy used in this study to improve and eliminate these errors.
Subject	Spanish language -- Study and teaching (Secondary)
Department	Department of Modern Languages
Advisor	Mejia, Gustavo
Type	Text
Digital Format	application/pdf
Language	spa
OCLC number	713734355
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