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Test-Retest Reliability in Metric Conjoint Experiments : A New Workflow to Evaluate Confidence in Model Results

Title data

Schüler, Jens ; Anderson, Brian S. ; Murnieks, Charles Y. ; Baum, Matthias ; Küsshauer, Alexander:
Test-Retest Reliability in Metric Conjoint Experiments : A New Workflow to Evaluate Confidence in Model Results.
In: Entrepreneurship Theory and Practice. Vol. 48 (2024) Issue 2 . - pp. 742-757.
ISSN 1042-2587
DOI: https://doi.org/10.1177/10422587231184071

Abstract in another language

Metric conjoint studies are a popular research design in the entrepreneurship domain. For these studies, test-retest reliabilities of ρ > .70 or higher are an often-cited reliability criterion. Despite their widespread use, however, there is little rigorous analysis of whether test-retest reliability in metric conjoint studies relates to model efficacy. Informed by a systematic literature review, we conducted two Monte Carlo simulations to evaluate the effects of various determinants of test-retest reliability in conjoint experiments. We then illustrate a workflow for entrepreneurship researchers employing conjoint designs to better evaluate—and communicate—confidence in statistical models estimated from conjoint data.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: entrepreneurship experiments; metric conjoint analysis; test-retest reliability; Monte Carlo simulation; testing entrepreneurship theory
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVI > Chair Business Administration XVI - Univ.-Prof. Dr. Matthias Baum
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVI
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 06 Jul 2023 08:14
Last Modified: 25 Jun 2024 07:06
URI: https://eref.uni-bayreuth.de/id/eprint/86025