Files

570685.pdf (244.97 KB)

Document type

Article

Version

Published version

Publication date

2008

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/43494

Randomization tests for ABAB designs: Comparing-data-division-specific and common distributions

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

Monte Carlo simulations were used to generate data for ABAB designs of different lengths. The points of change in phase are randomly determined before gathering behaviour measurements, which allows the use of a randomization test as an analytic technique. Data simulation and analysis can be based either on data-division-specific or on common distributions. Following one method or another affects the results obtained after the randomization test has been applied. Therefore, the goal of the study was to examine these effects in more detail. The discrepancies in these approaches are obvious when data with zero treatment effect are considered and such approaches have implications for statistical power studies. Data-division-specific distributions provide more detailed information about the performance of the statistical technique.

Subject

Disseny d'experiments, Tests d'hipòtesi (Estadística)

Subject (English)

Experimental design, Statistical hypothesis testing

Citation

Collections

Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

Citation

MANOLOV, Rumen and SOLANAS PÉREZ, Antonio. Randomization tests for ABAB designs: Comparing-data-division-specific and common distributions. Psicothema. 2008. Vol. 20, num. 2, pags. 297-303. ISSN 0214-9915. [consulted: 6 of June of 2026]. Available at: https://hdl.handle.net/2445/43494

Export metadata

JSON - METS

Share record