Standardization to Account for Cross-Cultural Response Bias

By Ronald Fischer. 2004

449 citations recorded by the source corpus.

Subfields: Food Science, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/bb0ed2f0b746250b677c99c39fe5dec360075a9d

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Citations in the corpus

Geoengineering and Climate Change Polarization: Testing a Two-channel Model of Science Communication (2015, background): “This form of standardization assures that nation-specific differences in response-style do not alter the covariance between the worldview measures, on the one hand, and the study outcome measures, on the other, when the subsamples are merged into one sample for analysis (Fischer 2004).”
The Index of Cultural Tightness and Looseness Among 68 Countries (2015, methodology): “Without a strong justification, SD should not be gotten rid of in an attempt to control for ERS or ARS (Fischer, 2004; Fischer & Milfront, 2010).”
Students’ Preference for Science Careers: International comparisons based on PISA 2006 (2011, background): “Measures of students’ attitudes need to be carefully constructed and interpreted, and several studies have shown that cultural factors can influence the way in which responses are given (e.g. Fischer, 2004; Heine, Lehman, Peng, & Greenholz, 2002; Turmo & Lie, 2007).”
Communication Styles as Dimensions of National Culture (2011, background): “However, other authors have noted the statistical problems inherent in ipsatization procedures (Cheung & Rensvold, 2000; Fischer, 2004), and some researchers have preferred to define their dimensions using unstandardized data (Bond et al., 2004; Inglehart, 1997; Minkov, 2007).”
Trait and State Authenticity Across Cultures (2014, background): “First, there may be cultural differences in how people respond to questionnaire items, no matter the item content (Fischer, 2004; Fischer & Milfont, 2010).”
Rating versus ranking: What is the best way to reduce response and language bias in cross-national research? (2009, background): “This procedure has become increasingly popular in cross-cultural studies (Fischer, 2004).”
General Pedagogical Knowledge of Future Middle School Teachers: On the Complex Ecology of Teacher Education in the United States, Germany, and Taiwan (2011, methodology): “Fischer (2004) once explained ipsative measures by using the following analogy: Let us consider the example of a mouse and an elephant.”
Position and Disposition Position and Disposition: The Contextual Development of Human Values (2013, background): “We recognize that the descision to ipsatize the outcome measures has important ramifications (see Fischer 2004 for a review of this strategy).”
Societal-Level Versus Individual-Level Predictions of Ethical Behavior: A 48-Society Study of Collectivism and Individualism (2013, methodology): “To address cross-cultural differences in scale response style with the SVS instrument (Fischer 2004), we used within-subject standardized adjusted scores in the analyses (per Hanges 2004).”
The impact of current and founding institutions on strength of competitive aspirations in transition economies (2012, methodology): “We normalized the Likert scale measures due to possible differences across countries in interpreting Likert scales (Fischer, 2004) and mean centered each of the strength of aspiration measures by industry category.”
The proximity effect: The role of inter-item distance on reverse-item bias (2009, background): “…of the proximity effect for nonreversed and reversed item pairs posits a content-driven response process, directional response bias (due to individuals' response styles) has been shown to bias correlations (Paulhus, 1991; Fischer, 2004; Greenleaf, 1992; Billiet & McClendon, 2000 ).”
The Boundaries of Culture (2013, methodology): “For both MDS maps, we used Euclidian distances after z score standardization by case, also known as within-subject standardization (Fischer, 2004).”
Whence Differences in Value Priorities? (2011, methodology): “We assessed this possibility by using standardization procedures to remove cross-cultural bias due to response styles (Fischer, 2004).”
Identifying Response Styles: A Latent-Class Bilinear Multinomial Logit Model (2010, background): “The validity of the information after correction is unclear (see Fischer 2004), which may be a major reason for the lack of consensus on whether to purge response styles.”
Consumer Adoption of New Products: Independent versus Interdependent Self-Perspectives (2014, methodology): “To account for potential differences in response bias between countries, we standardized (z-transformed) all Likert-type variables including self-construal, importance of product category, and innate innovativeness within each country (Fischer 2004).”
The preference effect in design concept evaluation (2014, methodology): “Thus, the evaluation style was controlled by ipsatisation (Chan, 2003; Fischer, 2004).”