Document Detail

Statistical criteria for parallel tests: A comparison of accuracy and power.
MedLine Citation:
PMID:  23413034     Owner:  NLM     Status:  Publisher    
Parallel tests are needed so that alternate forms can be applied to different groups or on different occasions, but also in the context of split-half reliability estimation for a given test. Statistically, parallelism holds beyond reasonable doubt when the null hypotheses of equality of observed means and variances across the two forms (or halves) are not rejected. Several statistical tests have been proposed for this purpose, but their performance has never been compared. This study assessed the relative performance (type I error rate and power) of the Student-Pitman-Morgan, Bradley-Blackwood, and Wilks tests of equality of means and variances in the typical conditions surrounding studies of parallelism-namely, integer-valued and bounded test scores with distributions that may not be bivariate normal. The results advise against the use of the Wilks test and support the use of the Bradley-Blackwood test because of its simplicity and its minimally better performance in comparison with the more cumbersome Student-Pitman-Morgan test.
Miguel A García-Pérez
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-2-15
Journal Detail:
Title:  Behavior research methods     Volume:  -     ISSN:  1554-3528     ISO Abbreviation:  Behav Res Methods     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-2-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101244316     Medline TA:  Behav Res Methods     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Departamento de Metodología, Facultad de Psicología, Universidad Complutense, Campus de Somosaguas, 28223, Madrid, Spain,
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