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Activity Number: 617 - Testing
Type: Contributed
Date/Time: Thursday, August 1, 2019 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract #304728
Title: Testing for single-case designs by combined permutation tests with multivariate ordinal data
Author(s): Luigi Salmaso* and Riccardo Ceccato and Rosa Arboretti
Companies: University of Padova and University of Padova and University of Padova
Keywords: permutation tests; Fisher combination; longitudinal data; multiplicity control

Single-case designs are experimental designs widely used in behavioral sciences, which involve only a single entity under observation. Traditionally these designs are analyzed through visual analysis techniques, but several different approaches have emerged. Among these approaches, permutation tests, also called randomization tests, deserve particular attention, because of the desirable property of being distribution free. In addition, they can be used to analyze different type of data and both univariate and multivariate problems. For this reason, we propose an extension of permutation tests to the analysis of a particular type of single-case designs, the completely randomized single-case designs, when the outcome is multivariate and ordinal. A simulation study is hence performed to evaluate the power of this testing procedure and a real application is also provided.

Authors who are presenting talks have a * after their name.

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