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ERIC ED381994: Using FACETS To Model Rater Training Effects. Draft.
by ERIC
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This paper describes a study on rater training that
involved the analysis of ratings given to English-as-a-
Second-Language (ESL) compositions by 8 inexperienced and
8 experienced raters both before and after rater
training, using FACETS (Linacre, 1990, 1993), which
provides measures of rater severity and consistency. The
testing text was a 50-minute composition essay, with 2
prompts, from the ESL Placement Examination (ESLPE) at
the University of California, Los Angeles. Compositions
were rated using the ESLPE Rating Scale on content,
rhetorical control, and language. Each essay was read by
two raters, primarily ESL faculty and teaching
assistants, and the scores averaged. All raters attended
mandatory composition rater training. FACETS provided a 4-
faceted model based on estimates of examinee ability,
rater harshness, scale difficulty, and prompt difficulty.
Pre-training, all raters as a group differed quite
significantly from one another in terms of severity. Post-
training, a clear distinction between new and old raters
is no longer visible. Findings indicate that rater
severity evened out somewhat after training across the
group. However, the spread of rater severities after
training is still quite significant. Rater consistency
improved, and new rater extremism was reduced. Results
confirm that rater training cannot make raters into
duplicates of one another, but it can make them more self-
consistent. Appendixes include the ESLPE rating
guidelines and sample ESLPE. (Contains 25 references.)
(NAV)
Date Published: 2014-10-12 22:57:34
Identifier: ERIC_ED381994
Item Size: 22920984
Language: english
Media Type: texts
# Topics
ERIC Archive; English (Second Languag...
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