ERIC Number: EJ1110325
Record Type: Journal
Publication Date: 2016
Abstractor: As Provided
Identifying Promising Items: The Use of Crowdsourcing in the Development of Assessment Instruments
Sadler, Philip M.; Sonnert, Gerhard; Coyle, Harold P.; Miller, Kelly A.
Educational Assessment, v21 n3 p196-214 2016
The psychometrically sound development of assessment instruments requires pilot testing of candidate items as a first step in gauging their quality, typically a time-consuming and costly effort. Crowdsourcing offers the opportunity for gathering data much more quickly and inexpensively than from most targeted populations. In a simulation of a pilot testing protocol, item parameters for 110 life science questions are estimated from 4,043 crowdsourced adult subjects and then compared with those from 20,937 middle school science students. In terms of item discrimination classification (high vs. low), classical test theory yields an acceptable level of agreement (C-statistic = 0.755); item response theory produces excellent results (C-statistic = 0.848). Item response theory also identifies potential anchor items without including any false positives (items with low discrimination in the targeted population). We conclude that the use of crowdsourcing subjects is a reasonable, efficient method for the identification of high-quality items for field testing and for the selection of anchor items to be used for test equating.
Descriptors: Test Items, Test Construction, Psychometrics, Biological Sciences, Science Tests, Adults, Middle School Students, Test Theory, Item Response Theory, Equated Scores, Cooperation, Item Banks, Group Activities
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Publication Type: Journal Articles; Reports - Research
Education Level: Middle Schools; Secondary Education; Junior High Schools
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: EHR0830922|EHR1316645