Cross‐cultural differences in survey response patterns
By Sara Dolnicar, Bettina Grün. 2007
140 citations recorded by the source corpus.
Purpose – The existence of variable response styles represents a major threat to the correct interpretation of market research findings. In international marketing, this threat is further increased due to samples of respondents from different cultural backgrounds. The purpose of this paper is to extend the investigation of differences in cross‐cultural response styles by studying full response patterns instead of extreme values, quantify the extent of the potential mistake of not accounting for cross‐cultural differences in response behaviour and present a simple way of testing whether or not data sets from various cultural backgrounds can be used without correcting for cross‐cultural response styles.Design/methodology/approach – Two independent data sets are used. Extreme response style (ERS) scores are compared by testing for equality of proportions. Respondents' answer patterns are partitioned using the k‐means algorithm, the resulting differences between cultures tested using a Fisher's exact test for...
Subfields: Food Science, Marketing, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/d57f548ca77dba96697606d396d4698de4409d9c
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In Food Science
- Steve Goodman
- Mike Peters
- Michael Smithson
- Raija Komppula
- Juho Pesonen
- Leonardo Casini
- J. Verkuilen
- A. Corsi
In Marketing
- Steve Goodman
- Mike Peters
- Michael Smithson
- Raija Komppula
- Juho Pesonen
- Leonardo Casini
- J. Verkuilen
- A. Corsi
In Organizational Behavior and Human Resource Management
- Steve Goodman
- Mike Peters
- Michael Smithson
- Raija Komppula
- Juho Pesonen
- Leonardo Casini
- J. Verkuilen
- A. Corsi
Citations in the corpus
- Understanding the relationship between push and pull motivations in rural tourism (2011, methodology): “To minimize the effect of response style in multinational studies ( Dolnicar and Grun, 2007”
- Consumer preferences of wine in Italy applying best‐worst scaling (2009, background): “First of all cultural differences influence the way people give ratings to items (Dolnicar and Grün, 2007; Diamantopoulos et al., 2006; Usunier and Lee, 2005; van Herk et al., 2004).”
- Mixed and Mixture Regression Models for Continuous Bounded Responses Using the Beta Distribution (2012, methodology): “Ferrari and Cribari-Neto (2004) proposed a deviance residual for the beta GLM, but Epsinheira et al. (2008a) found this residual to be inaccurate, particularly when the location submodel estimates are close to 0 or 1. Epsinheira et al. propose and evaluate two residuals based on the Fisher scoring a”