Cataloging and Analysis of Data Points Sample Clauses

Cataloging and Analysis of Data Points. Once all phi-feature errors were identified, I then distributed the errors that were found on the compositions into six groups depending on if the errors reflect person, number, gender, subject omission, copulative verb omission, or auxiliary verb agreement/resolution rule mistakes. Of these six error groups, only the first three (person, number, and gender) pertain to resolution rule usage by the composition writers. The subject omission and copulative verb omission error groups reflect mistakes that are endemic to L2 writers from L1 languages that are pro-drop and zero copula. The final error group, auxiliary/main verb, covers the more complex verb phrase constructions that are troublesome for L2 writers in English. These six groups of errors account for all of the mistakes that were made by the composition writers in agreement instances between a noun/noun phrase and a verb phrase. Once all phi-feature errors were identified and cataloged, I examined the error data statistically to determine any trends and/or anomalies in the findings between error groups and among verb misusages. This analysis also allowed me to identify how these composition writers fared against other writers in the group. This statistical analysis provides a glimpse of the verb errors commonly made by native Arabic writers writing in an L2 English.
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