Two methods of removing interaction in a two-way balanced design were considered. Removing interaction from the model/ data will result to a reduced model and data which consequently violates the assumptions of analysis of variance (ANOVA). To resolve this problem, a linear combination method approach was used which does not violates the assumptions of ANOVA and completely makes the presence of interaction to be zero. Keywords: Additive effects, Homogeneity of variance, Normal distributio
In many psychological experiments, interaction effects in factorial analysis of variance (ANOVA) d...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
Interaction effect is an important scientific interest for many areas of research. Common approach f...
Two methods of removing interaction in a two-way balanced design were considered. Removing interacti...
Under a two-way analysis of variance/covariance model, we consider the problem of testing the main t...
In this power study, ANOVAs of unbalanced and balanced 2 x 2 datasets are compared (N = 120). Datase...
<div><p>In this power study, ANOVAs of unbalanced and balanced 2 x 2 datasets are compared (N = 120)...
In this power study, ANOVAs of unbalanced and balanced 2 x 2 datasets are compared (N = 120). Datase...
Graefe L, Hahn S, Mayer A. On the Relationship between ANOVA Main Effects and Average Treatment Effe...
AbstractThe purpose of this paper is to review two-way analysis of variance (ANOVA) problems with fi...
Testing for any significant interaction between two variables depends on the number of replicates in...
Summary: When faced with categorical predictors and a continuous response, the objective of analysis...
We consider a well-known controversy that stems from the use of two mixed models for the analysis of...
This research consists of two parts involving non-parametric procedures for assessing interaction an...
This article considers two related issues concerning the analysis of inter-actions in complex linear...
In many psychological experiments, interaction effects in factorial analysis of variance (ANOVA) d...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
Interaction effect is an important scientific interest for many areas of research. Common approach f...
Two methods of removing interaction in a two-way balanced design were considered. Removing interacti...
Under a two-way analysis of variance/covariance model, we consider the problem of testing the main t...
In this power study, ANOVAs of unbalanced and balanced 2 x 2 datasets are compared (N = 120). Datase...
<div><p>In this power study, ANOVAs of unbalanced and balanced 2 x 2 datasets are compared (N = 120)...
In this power study, ANOVAs of unbalanced and balanced 2 x 2 datasets are compared (N = 120). Datase...
Graefe L, Hahn S, Mayer A. On the Relationship between ANOVA Main Effects and Average Treatment Effe...
AbstractThe purpose of this paper is to review two-way analysis of variance (ANOVA) problems with fi...
Testing for any significant interaction between two variables depends on the number of replicates in...
Summary: When faced with categorical predictors and a continuous response, the objective of analysis...
We consider a well-known controversy that stems from the use of two mixed models for the analysis of...
This research consists of two parts involving non-parametric procedures for assessing interaction an...
This article considers two related issues concerning the analysis of inter-actions in complex linear...
In many psychological experiments, interaction effects in factorial analysis of variance (ANOVA) d...
An interaction effect exists when the influence of an independent variable X on an outcome variable ...
Interaction effect is an important scientific interest for many areas of research. Common approach f...
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