Document Detail

The effect of dropping low scores on ability estimates.
MedLine Citation:
PMID:  15064537     Owner:  NLM     Status:  MEDLINE    
Dropping low scores is a common technique used in combining scores from multiple assessments, but no research has addressed the validity of ability estimates when dropping low scores. Using a simulation approach, the expected bias, root mean squared error (RMSE), and benefit to examinees resulting from dropping low scores was estimated for two ability estimation methods, Rasch estimation and proportion correct scoring. The simulation was done for three testing conditions: a normal condition; a bad day condition, when an examinee has a lower ability on one assessment; and a bad test condition, when one assessment is contaminated by an irrelevant factor. Ability estimates based on the complete data were generally preferable to estimates based on data with low scores dropped, suggesting that the use of dropping low scores is not warranted in most assessment situations.
Ryan P Bowles
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of applied measurement     Volume:  5     ISSN:  1529-7713     ISO Abbreviation:  J Appl Meas     Publication Date:  2004  
Date Detail:
Created Date:  2004-04-05     Completed Date:  2004-05-19     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  101084377     Medline TA:  J Appl Meas     Country:  United States    
Other Details:
Languages:  eng     Pagination:  178-88     Citation Subset:  IM    
Department of Psychology, University of Virginia, P. O. Box 400400, Charlottesville, VA 22904-4400, USA.
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MeSH Terms
Educational Measurement / methods*,  statistics & numerical data*
Psychometrics / methods,  statistics & numerical data
Grant Support
T32 AG 20500-01/AG/NIA NIH HHS

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