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2022 Annual Conference

May 19–21, 2022

Sheraton Sand Key, Clearwater Beach, FL, US

Proposal authors can use this tool to see where they have been placed in the program agenda for an Oral or Poster Session.

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Confirm your place in the schedule by going to the ACCI Presenter Confirm Google Sheet and marking your session with the name and email address of the author who will be attending and presenting. Each presentation must have a separate paid registraint. Contact the ACCI Office immedicately by email at admin@consumerinterests.org to report a conflict or if you have questions. Please be sure to reference the session title(s), date(s), and time(s) if you contact us.

110 The Alpha and Omega of Financial Risk-Tolerance Assessment

Friday, May 20, 2022 at 8:00 AM–8:50 AM EDT
Room 4 Posters
Key Words

Cronbach’s alpha, internal consistency, financial risk tolerance, omega, reliability

Short Description

Over the past two decades, numerous scaling and attitudinal measurement techniques have been developed to facilitate the assessment of consumer risk tolerance. Cronbach’s alpha has traditionally been used as the primary measure of scale reliability for assessment tools that have been developed using psychometric theory. Recently, however, psychometricians have raised concerns about the ongoing use of Cronbach’s alpha as a robust measure of scale reliability. In its place, some have argued that reliability estimates should be based on Greatest Lower Bound (GLB) and omega estimations. The purpose of this paper is to describe and compare these alternative reliability measures, in comparison to Cronbach’s alpha, for a widely used financial risk-tolerance scale. Using a dataset with 179,450 observations, findings from this study suggest that while estimates derived on the basis of Cronbach’s alpha, GLB, and omega differ, for the most part, reliability estimates across the measures are more similar than dissimilar.

Submitter

John Grable, University of Georgia

Authors

Wookjae Heo, Purdue University
Abed Rabbani, University of Missouri
Michael Roszkowski, Roszkowski Consulting
John Grable, University of Georgia
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