International Handbook of Career Guidance 2019
DOI: 10.1007/978-3-030-25153-6_28
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Testing and Assessment in an International Context: Cross- and Multi-cultural Issues

Abstract: Globalisation, increase of migration flows, and the concurrent worldwide competitiveness impose rethinking of testing and assessment procedures and practices in an international and multicultural context. This chapter reviews the methodological and practical implications for psychological assessment in the field of career guidance. The methodological implications are numerous and several aspects have to be considered, such as cross-cultural equivalence or construct, method, and item bias. Moreover, the constru… Show more

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Cited by 7 publications
(6 citation statements)
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References 67 publications
(57 reference statements)
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“…Ensuring that "the instrument measures the same construct(s) in exactly the same way across all group" (Byrne & van de Vijver, 2010, p. 107) is a crucial prerequisite to valuable cross-group comparisons (Rossier & Duarte, 2019). In order to verify whether the same norms can be used in Switzerland and France, and among different groups, and to ensure that these groups can be meaningfully compared, measurement invariance was tested.…”
Section: Discussionmentioning
confidence: 99%
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“…Ensuring that "the instrument measures the same construct(s) in exactly the same way across all group" (Byrne & van de Vijver, 2010, p. 107) is a crucial prerequisite to valuable cross-group comparisons (Rossier & Duarte, 2019). In order to verify whether the same norms can be used in Switzerland and France, and among different groups, and to ensure that these groups can be meaningfully compared, measurement invariance was tested.…”
Section: Discussionmentioning
confidence: 99%
“…Following the procedure suggested by Van de Vijver and Leung (1997; see also He & van de Vijver, 2012), the configural, metric, and scalar invariance were tested by constraining all loadings across groups for the scalar invariance and by constraining all loading and intercepts for the metric invariance. Metric invariance thus also implies configural invariance, and scalar invariance implies both metric and configural invariance (Rossier & Duarte, 2019). From one level of invariance to the other, the change in the CFI should be less than .01 (Byrne & van de Vijver, 2010) or less than .002 according to Meade and colleagues (2008), and the change in RMSEA should be less than .05 (Cheung & Rensvold, 2002).…”
Section: Methodsmentioning
confidence: 99%
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“…A χ 2 / df bellow 5 reflects an acceptable model, GFI and CFI values above .95 indicate a good fit, and values ranging between .90 and .95 indicate an acceptable fit, RMSEA values below .08 indicate an acceptable fit, and values below .05 indicate a good fit. In order to analyze configural, metric, and scalar invariance, changes in model fit statistics were considered (Rossier & Duarte, 2019). To provide evidence of invariance, change in CFI values should be lower than .01, and change in RMSEA lower than .05 (Byrne & Van de Vijver, 2010; Rossier et al., 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Considering parcels did allow to reach configural and somehow metric invariance, but clearly not scalar invariance, as did the ZKA-PQ/SF and HEXACO-60 in the same samples (Aluja et al, 2020; García et al, 2021). Several methodologists would claim that in this case means cannot be compared across cultures (Rossier & Duarte, 2019). However, this type of mismatch between the psychometric approach (large sample of uncorrelated items) and the statistical approach (parsimonious highly correlated observed variables), and the over emphasis given to the question of the measurement invariance did lead several methodologists to suggest that the criteria to assess invariance across cultures were too strict, considering differences not directly related with the latent constructs (Millsap, 2011).…”
Section: Discussionmentioning
confidence: 99%