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Abstract Details
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Activity Number:
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600
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Consulting
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| Abstract - #304727 |
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Title:
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Avoiding the Lower Bound: Practical Tools for Estimating Unified Reliability of Psychometric Instruments
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Author(s):
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Yu Jiang*+ and Byron J. Gajewski and Hung-Wen Yeh and Kimberly Engelman and Cynthia Teel and Won S. Choi and Allen K. Greiner and Christine Makosky Daley
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Companies:
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Kansas University Medical Center and Kansas University Medical Center and Kansas University Medical Center and Kansas University Medical Center and Kansas University Medical Center and Kansas University Medical Center and Kansas University Medical Center and Kansas University Medical Center
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Address:
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3901 Rainbow Blvd, Kansas City, KS, 66160, United States
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Keywords:
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Pile Sorting ;
Instrument Development ;
Multivariate Methods ;
Center for American Indian Community Health
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Abstract:
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It is well known in the statistical (psychometric) literature that Cronbach's alpha is a lower bound estimate of reliability. However, the healthcare literature (including nursing) is flooded with this conservative estimate of reliability. Part of the reason for this is that non-statisticians lack practical tools for estimating a more appropriate estimate of reliability such as "composit reliability." The purpose of this talk is to provide clients with these resources. We develop a case study using data from a recent clinical trial in which we collected data from caregivers of stroke and Alzheimer patients using the 20-item CES-D instrument (measure of depressive symptomatology). This talk provides step-by-step guidance for educating the non-statistician using confirmatory factor analysis (CFA). As a complement to our clients' use of traditional SPSS, we successfully piloted the software R for estimating CFA on nine non-statisticians. This approach can be used with other non-statistical healthcare clients, including nurse researchers and community stakeholders of the Center for American Indian Community Health (e.g. community advisory boards, summer interns, & research team members
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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