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THE MISUSE OF SYNTAX ALTERATION FOR GEE AND ANOVA POST-HOC ANALYSES IN SPSS
Author(s) -
João Pedro Nunes,
Giovanna F. Frigoli
Publication year - 2020
Publication title -
revista científic@
Language(s) - English
Resource type - Journals
ISSN - 2358-260X
DOI - 10.29247/2358-260x.2020v7i1.4164
Subject(s) - post hoc , post hoc analysis , bonferroni correction , gee , analysis of variance , repeated measures design , mixed design analysis of variance , statistics , syntax , statistical analysis , one way analysis of variance , analysis of covariance , mathematics , econometrics , computer science , generalized estimating equation , natural language processing , medicine , dentistry
The online support of IBM SPSS proposes that users alter the syntax when performing post-hoc analyses for interaction effects of ANOVA tests. Other authors also suggest altering the syntax when performing GEE analyses. This being done, the number of possible comparisons (k value) is also altered, therefore influencing the results from statistical tests that k is a component of the formula, such as repeated measures-ANOVA and Bonferroni post-hoc of ANOVA and GEE. This alteration also exacerbates type I error, producing erroneous results and conferring potential misinterpretations of data. Reasoning from this, the purpose of this paper is to report the misuse and improper handling of syntax for ANOVAs and GEE post-hoc analyses in SPSS and to illustrate its consequences on statistical results and data interpretation.

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