Year: 2014
Type: article
Abstract: In marketing-communication, there is a burgeoning interest in experimental approaches (Alhabash & Wise, 2012; Janssens et al., 2011; Krakowiak & Oliver; 2012; Mazodier et al., 2012) which allow to detect more conclusive causal relations than it is generally the case in observational and survey-based research. We will focus on a methodological issue linked to a crossed effects design, where every subject responds once to the same set of stimuli. As a result, the data are grouped both under the subjects, each subject responding to the same set of stimuli, and the stimuli, each stimulus being responded to by every subject, so that the outcomes are correlated. It is common practice to use a Repeated Measures ANOVA (RM ANOVA) to account for the correlation or non-independence of the experimental outcomes.
Source: Lirias
Authors: Kim Janssens, José Tummers
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2527579257