Literature DB >> 14707752

A comparison of the separation ratio and coefficient alpha in the creation of minimum item sets.

Trudy Mallinson1, Joan Stelmack, Craig Velozo.   

Abstract

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.

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Year:  2004        PMID: 14707752     DOI: 10.1097/01.mlr.0000103522.78233.c3

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  15 in total

1.  A new look at the WHOQOL as health-related quality of life instrument among visually impaired people using Rasch analysis.

Authors:  Vijaya K Gothwal; Marmamula Srinivas; Gullapalli N Rao
Journal:  Qual Life Res       Date:  2012-05-22       Impact factor: 4.147

2.  Measurement qualities of a self-report and therapist-scored functional capacity instrument based on the Dictionary of Occupational Titles.

Authors:  Craig A Velozo; Bongsam Choi; Sheryl Eckberg Zylstra; Rochelle Santopoalo
Journal:  J Occup Rehabil       Date:  2006-03

3.  Comparison of scoring approaches for the NEI VFQ-25 in low vision.

Authors:  Bradley E Dougherty; Mark A Bullimore
Journal:  Optom Vis Sci       Date:  2010-08       Impact factor: 1.973

4.  An enhanced functional ability questionnaire (faVIQ) to measure the impact of rehabilitation services on the visually impaired.

Authors:  James Stuart Wolffsohn; Jonathan Jackson; Olivia Anne Hunt; Charles Cottriall; Jennifer Lindsay; Richard Gilmour; Anne Sinclair; Robert Harper
Journal:  Int J Ophthalmol       Date:  2014-02-18       Impact factor: 1.779

5.  Measurement of gender-sensitive treatment for women in mixed-gender substance abuse treatment programs.

Authors:  Zhiqun Tang; Ronald E Claus; Robert G Orwin; Wendy B Kissin; Carlos Arieira
Journal:  Drug Alcohol Depend       Date:  2011-12-03       Impact factor: 4.492

6.  Tailored Screening for Late-Life Depression: A Short Version of the Teate Depression Inventory (TDI-E).

Authors:  Michela Balsamo; Aristide Saggino; Leonardo Carlucci
Journal:  Front Psychol       Date:  2019-12-05

7.  Psychometric Assessment of the Chinese Version of the Indian Vision Functioning Questionnaire Based on the Method of Successive Dichotomizations.

Authors:  Rongrong Gao; Sisi Chen; Shixiang Yan; Tianhao Lu; Haisi Chen; Qi Feng; Qinmei Wang; Yong Sun; Jinhai Huang; Jyoti Khadka
Journal:  Transl Vis Sci Technol       Date:  2021-06-01       Impact factor: 3.283

Review 8.  Patient-centred measurement in ophthalmology--a paradigm shift.

Authors:  Konrad Pesudovs
Journal:  BMC Ophthalmol       Date:  2006-06-15       Impact factor: 2.209

9.  Measuring Health-Related Quality of Life in Strabismus: A Modification of the Adult Strabismus-20 (AS-20) Questionnaire Using Rasch Analysis.

Authors:  Vijaya K Gothwal; Seelam Bharani; Ramesh Kekunnaya; PreetiPatil Chhablani; Virender Sachdeva; Niranjan K Pehere; Asa Narasaiah; Rekha Gunturu
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

10.  Factors associated with knowledge of diabetes in patients with type 2 diabetes using the Diabetes Knowledge Test validated with Rasch analysis.

Authors:  Eva K Fenwick; Jing Xie; Gwyn Rees; Robert P Finger; Ecosse L Lamoureux
Journal:  PLoS One       Date:  2013-12-03       Impact factor: 3.240

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