What happens if we compare chopsticks with forks? The impact of making inappropriate comparisons in cross-cultural research.
By F. Chen. Journal of Personality and Social Psychology, 2008
961 citations recorded by the source corpus.
Subfields: Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/d6e67d20f0bd97274cac70b6b1985254f479d6c9
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In Social Psychology
- Jan Cieciuch
- Shalom H. Schwartz
- Eldad Davidov
- Constanze Beierlein
- Michele Vecchione
- Ronald Fischer
- T. Milfont
- Anshul Verma
In Sociology and Political Science
- Jan Cieciuch
- Shalom H. Schwartz
- Eldad Davidov
- Constanze Beierlein
- Michele Vecchione
- Ronald Fischer
- T. Milfont
- A. Badgaiyan
Citations in the corpus
- Validation of the Satisfaction with Life Scale to Brazilians: Evidences of Measurement Noninvariance Across Brazil and US (2013, background): “, measurement error) can result in spurious findings (e.g., overinflating group differences; Chen 2008), thus misleading researchers who are trying to make meaning of cross-cultural differences in life satisfaction.”
- Relation of Student Achievement to the Quality of Their Teachers and Instructional Quality (2016, methodology): “In order to ascertain such equivalence, MI was established using multiple-group confirmatory factor analysis (MG-CFA; Chen 2008).”
- How cultural values affect the impact of abusive supervision on worker attitudes (2011, background): “The general issue of measurement invariance is particularly relevant when scales originally developed for one culture are applied to another, because the instrument may measure a different construct or show different levels of psychometric soundness across groups (Chen, 2008; Chen et al., 2005; Mere”
- A comparison of the invariance properties of the PVQ-40 and the PVQ-21 to measure human values across German and Polish Samples (2012, background): “This is particularly important in cross-cultural or cross-country research (Chen 2008; Steenkamp and Baumgartner 1998; van de Vijver and Poortinga 1997; Vandenberg and Lance 2000).”
- Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance (2007, background): “On the one hand, the relation between the degree of invariance and changes in fit statistics was nonmonotonic; on the other hand, the relation between the degree of invariance and bias in group comparisons was monotonic (Chen, 2007).”
- Examining boredom : Different causes for different coping profiles (2015, neutral): “Finally, we should be caution in comparing these mean levels because the data comes from different countries in addition to different age groups and we do not have evidence of strong scalar invariance, which is necessary to compare mean levels (Chen, 2008).”
- Value Orientations From the World Values Survey (2016, background): “This level of invariance is necessary to establish comparability of regression slopes in multivariate analyses (Chen, 2008) and is achieved by constraining factor loadings to be the same across groups.”
- MEASUREMENT INVARIANCE OF A REFINED VALUES SCALE 1 Running Head : MEASUREMENT INVARIANCE OF A REFINED VALUES SCALE The Cross-National Invariance Properties of a New Scale to Measure 19 Basic Human Values . A Test across Eight Countries (2014, methodology): “Table 2 about here Based on the cut-off criteria of Chen (2007) and Byrne and Stewart (2006), we draw the following conclusions: 16 of the 19 values demonstrated full metric invariance across all countries (self-direction-thought, stimulation, power –dominance, power-resources, face,”
- Testing measurement invariance across groups: applications in cross-cultural research. (2010, background): “Testing for equivalence of measures (or measurement invariance) has thus become an important issue in recent years (e.g., Chen, 2008; Cheung & Rensvold, 1999, 2000; Fontaine, 2005; Little, 1997; Steenkamp & Baumgartner, 1998; van de Vijver & Fischer, 2009; van de Vijver & Leung, 1997; van de Vijver…”
- Testing Measurement Invariance and Comparing Latent Factor Means Within a Confirmatory Factor Analysis Framework (2011, background): “…the conceptual meaning or understanding (perhaps for cultural reasons) of the construct differs across groups, (b) particular items are more applicable for one group than another, (c) the scale was not translated properly, and/or (d) certain groups respond to extreme items differently (Chen, 2008).”
- Reward crowdfunding contribution as planned behaviour: An extended framework (2019, background): “As we sought to compare the means of latent constructs among high-sum and low-sum contributors, we need to first confirm scalar invariance (Byrne, Shavelson, & Muthén, 1989; Chen, 2008; Vandenberg & Lance, 2000).”
- The WHO-5 well-being index – validation based on item response theory and the analysis of measurement invariance across 35 countries (2020, methodology): “Manifest sum (or mean) scoring assumes that the measure under tudy is invariant across groups ( Chen, 2008 ), however, it is important hat cross-country studies take possible DTF effects of the WHO-5 into ccount (for a gentle introduction into measurement invariance testing ee e.g., Tay et al.,…”