2014
DOI: 10.1111/jac.12076
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Analysis of Statistical Interactions in Factorial Experiments

Abstract: Two or higher‐order factorial designs are very common in agricultural and horticultural experiments. The evaluation of such trials by analysis of variance (anova) and the corresponding F‐tests for the interaction effects covers only a global decision concerning the presence of interactions. This study presents a straightforward method, which provides a more detailed analysis of interactions via multiple contrast tests. The presented approach takes both the structure of each factor and the research question int… Show more

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Cited by 15 publications
(9 citation statements)
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References 23 publications
(31 reference statements)
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“…The primary hypotheses addressed in this study corresponded to testing specific differences in changes across the time points POST, R1h, and R1d, specified in terms of contrasts of parameter estimates of the interaction effect (e.g., Kitsche & Schaarschmidt, ). Data were reported as mean ± SEM unless otherwise stated.…”
Section: Discussionmentioning
confidence: 99%
“…The primary hypotheses addressed in this study corresponded to testing specific differences in changes across the time points POST, R1h, and R1d, specified in terms of contrasts of parameter estimates of the interaction effect (e.g., Kitsche & Schaarschmidt, ). Data were reported as mean ± SEM unless otherwise stated.…”
Section: Discussionmentioning
confidence: 99%
“…The primary hypotheses addressed in this study corresponded to testing specific differences in changes across the time points B5, R1, and R7, specified in terms of contrasts of parameter estimates of the interaction effect (e.g., [ 49 ]). Specifically, approximate global F-tests were carried out and, subsequently, model-based t-tests were used to identify the significant differences.…”
Section: Methodsmentioning
confidence: 99%
“…6), pairwise comparisons were performed between intensity levels (α=0.05, lsmeans package). User-defined interaction contrasts were created to compare intensity-dependent changes of choice frequencies between colours using the package statint (Kitsche and Schaarschmidt, 2015). Tukey-type comparisons on interaction contrasts were performed using the multcomp package (Hothorn et al, 2008).…”
Section: Methodsmentioning
confidence: 99%