2016
DOI: 10.1371/journal.pone.0166533
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Measurement Invariance and Latent Mean Differences in the Reynolds Intellectual Assessment Scales (RIAS): Does the German Version of the RIAS Allow a Valid Assessment of Individuals with a Migration Background?

Abstract: This study examined measurement invariance and latent mean differences in the German version of the Reynolds Intellectual Assessment Scales (RIAS) for 316 individuals with a migration background (defined as speaking German as a second language) and 316 sex- and age-matched natives. The RIAS measures general intelligence (single-factor structure) and its two components, verbal and nonverbal intelligence (two-factor structure). Results of a multi-group confirmatory factor analysis showed scalar invariance for th… Show more

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Cited by 8 publications
(8 citation statements)
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“…(Diotaiuti et al 2022). By establishing measurement invariance, researchers gain confidence in comparing and interpreting analytical outcomes, such as latent means, across distant groups and different timeframes (Gygi et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…(Diotaiuti et al 2022). By establishing measurement invariance, researchers gain confidence in comparing and interpreting analytical outcomes, such as latent means, across distant groups and different timeframes (Gygi et al 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is wise to take care with regard to the value of MI testing in psychological research. The Multi-group Confirmatory Factor Analysis (MG-CFA) is an extension on the strength of confirmatory factor analysis (CFA), providing a more comprehensive test of MI by examining multiple aspects of the construct, such as configural, metric, scalar, and residual variances (Gygi et al, 2016;Zewude & Hercz, 2022).…”
Section: Measurement Invariance (Mi) and Its Assessing Methodsmentioning
confidence: 99%
“…However, for such studies to yield meaningful and comparable results, it is imperative that the measurement instruments used possess measurement invariance (Diotaiuti et al, 2022). By establishing measurement invariance, researchers gain confidence in comparing and interpreting analytical outcomes, such as latent means, across distant groups and different timeframes (Gygi et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…In the same model, the effects of experience and attitude toward video games on student performance mediated by student motivation were also assessed. The goodness of model fit was assessed using root mean square error approximation (RMSEA), standardized root mean square residual (SRMR), the comparative fit index (CFI) and the Tucker-Lewis Index (TLI), (Gygi et al, 2016). All tests were two-sided, performed using a significance level of 95% (α = 0.05).…”
Section: Statistical Analysesmentioning
confidence: 99%