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A Comparison of the Separation Ratio and Coefficient α in the Creation of Minimum Item Sets

Bibliographic Data

ID9102405
AuthorsTrudy Mallinson (0000-0002-4888-5579, Shirley Ryan AbilityLab), Joan Stelmack, Joan A Stelmack, Craig A Velozo (0000-0001-8617-4092, Northwestern University), Craig Velozo
Year2004
Volume42
Issue1
Pages17
Publication date2004-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000103522.78233.c3
PMID14707752
OpenAlexW1964752016
LanguageEN
Citations received5
References cited13

BACKGROUND: Short-form outcomes measures are becoming common in response to demands for increased efficiency in health care. This study examines Rasch measurement as an aid to selecting items for short form tests. The focus of this paper is on maintaining test quality while reducing items. The separation ratio (SR) aids item reduction by indicating how removing items impacts measurement precision. Results of the SR and coefficient alpha are compared. OBJECTIVES: To demonstrate the use of Rasch measurement to shorten clinical outcomes measures and to compare the separation ratio and coefficient alpha in evaluating when item reduction improved efficiency without sacrificing measurement precision. RESEARCH DESIGN: Retrospective analysis of existing health outcomes data. SUBJECTS: A convenience sample of 58 patients receiving cataract surgery. MEASURES: The 14 items of the VF-14 (a measure of visual functioning), the published subset of items from this test (the VF-7), and 5 other 7-item combinations of the items. RESULTS: The largest coefficient alpha was obtained from the VF14 (.84) while the largest separation ratio (2.67) was obtained from the 7-item subtest with the reduced rating scale. CONCLUSIONS: This study demonstrated one way that Rasch measurement can be helpful in selecting items for minimum item sets while maintaining test precision. Both alpha and the separation ratio provide information about how a sample performed with a given test although variations in measurement precision may not always be detected with alpha

Item response theory · Polytomous Rasch model · Psychometrics · Quality (philosophy) · Rasch model · Rating scale · Reliability (semiconductor) · Sample (material) · Scale (ratio) · Separation (statistics) · Statistics · Test (biology) · Computer Science · Mathematics · Ophthalmology and Visual Impairment Studies · Psychological Testing and Assessment · Psychology · Psychometric Methodologies and Testing

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Unique citing works5
Citations per year0,23
Citation span2004 - 2020 (17)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 5

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