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Journal Issue
Volume 12 Issue 1 / Jul 2014  pp1‑74

Editor: Ann Brown

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Editorial for General Issue  pp1‑2

Ann Brown

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Multicollinearity in Marketing Models: Notes on the Application of Ridge Trace Estimation in Structural Equation Modelling  pp3‑15

Jenni Niemelä-Nyrhinen, Esko Leskinen

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The Impact of non‑Equidistance on Anova and Alternative Methods  pp16‑26

Bjorn Lantz

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Abstract: The normality assumption behind ANOVA and other parametric methods implies not only mound shape, symmetry, and zero excess kurtosis, but also that data are equidistant. This paper uses a simulation approach to explore the impact of non‑equidista nce on the performance of statistical methods commonly used to compare locations across several groups. These include the one‑way ANOVA and its robust alternatives, the Brown‑Forsythe test, and the Welch test. We show that non‑equidistance does affect the se methods with respect to both significance level and power, but the impact differs between the methods. In general, the ANOVA is less sensitive to non‑equidistance than the other two methods are and should therefore be the primary choice when analyzing potentially non‑equidistant data. 


Keywords: Keywords: Likert-type scale, equidistance, Monte Carlo simulation, ANOVA


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SEM for Experimental Designs: An Information Systems Example  pp27‑40

Saurabh Gupta

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Surveying Adolescents: The Impact of Data Collection Methodology on Response Quality  pp41‑53

Beverly Wright, Alphonso O. Ogbuehi

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Using the Multiple Case Study Design to Decipher Contextual Leadership Behaviors in Indian Organizations  pp54‑65

Veena Vohra

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Theory Testing Using Case Studies  pp66‑74

Ann-Kristina Løkke, Pernille Dissing Sørensen

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