Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-7962
Main Title: F- and H-Test Assumptions Revisited
Author(s): Boehnke, Klaus
Type: Article
Language Code: en
Abstract: The effects of some restraints not included in the classical assumptions of the F- and H-test (e.g., correlation of mean and sample size) were examined in a simulation design of 1000 samples per condition. Also simulated was a situation in which two assumptions were not met simultaneously. The major conclusions were: H was not an appropriate alternative for F with samples of N>= 20; in all cases of unequal variances combined with unequal sample sizes H should be applied; and neither H nor F should be applied if more than one assumption of either test is not met.
URI: https://depositonce.tu-berlin.de//handle/11303/8833
http://dx.doi.org/10.14279/depositonce-7962
Issue Date: 1984
Date Available: 8-Jan-2019
DDC Class: 370 Bildung und Erziehung
150 Psychologie
Subject(s): H-test
F-test
statistics
robustness
parametric test
non-parametric test
methodology
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: Educational and Psychological Measurement
Publisher: SAGE Publications
Publisher Place: Washington, DC
Volume: 44
Issue: 3
Publisher DOI: 10.1177/0013164484443008
Page Start: 609
Page End: 617
EISSN: 1552-3888
ISSN: 0013-1644
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.
Appears in Collections:Inst. Psychologie und Arbeitswissenschaft » Publications

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