Linked Life Data

15064537

Source:http://linkedlifedata.com/resource/pubmed/id/15064537

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2004-4-5
pubmed:abstractText
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.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1529-7713
pubmed:author
pubmed:issnType
Print
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
178-88
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
The effect of dropping low scores on ability estimates.
pubmed:affiliation
Department of Psychology, University of Virginia, P. O. Box 400400, Charlottesville, VA 22904-4400, USA. rpbowles@virginia.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.