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A Comparison of Equal Percentile and Partial Credit Equatings for Performance‐Based Assessments Composed of Free‐Response Items
Author(s) -
Huynh Huynh,
Ferrara Steven
Publication year - 1994
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1994.tb00438.x
Subject(s) - equating , percentile , statistics , raw score , mathematics , variance (accounting) , polytomous rasch model , principal component analysis , econometrics , psychology , item response theory , raw data , psychometrics , accounting , economics , rasch model
This study compares the equal percentile (EP) and partial credit (PC) equatings for raw scores derived from performance‐based assessments composed of free‐response (open‐ended) items clustered around long reading selections or multistep mathematics problems. Data are from the Maryland School Performance Assessment Program. The results suggest that Masters (1982; Wright & Masters, 1982) partial credit model may be useful for equating examinations composed of moderately easy (or not too difficult)items sharing a first principal component with at least 25% of the total variance. This conclusion appears to hold even in the presence of some level of response dependency for the items within each cluster. Although visible discrepancies were found between PC and EP equated scores in the skewed tail of the score distributions, the direction of these discrepancies is unpredictable. Therefore, it cannot be concluded from the study that the two methods give equivalent results when the distributions are markedly skewed.