2018
DOI: 10.1177/1073191118787284
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Malaysian Parent Ratings of the Strengths and Difficulties Questionnaire: Factor Structure and Measurement Invariance Across Language Versions, Gender, Informants, and Race

Abstract: For a Malaysian sample, the current study used exploratory factor analysis (EFA) to determine the best model for parent ratings of the Strengths and Difficulties Questionnaire (SDQ), and then multiple-group confirmatory factor analysis (MCFA) to confirm this model, and to examine measurement invariance across different language versions (Malay and English), child's gender (boys and girls), informants (mothers and fathers), and racial groups (Malay, Chinese, and Indians). In all 1,407 Malaysian parents complete… Show more

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Cited by 8 publications
(16 citation statements)
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“…These pairs were matched in terms of the language of delivery of the scale ( Study 1 : the OFQ in English; Study 2 : the OFQ in Greek), the age ranges ( Study 1: emergent adults; Study 2: adolescents) and the mode of the data collection ( Study 1: online; Study 2: face to face), to concurrently control for factors influencing the analyses, other than that of the country of origin (Kwiatkowska and Rogoza, 2017; Zavala-Rojas and Saris, 2017; Zhang X. et al, 2017). In brief, and despite the results confirming the single factor structure of the OFQ across all four samples, group differences were revealed at the level of the metric invariance analysis (i.e., the strength of the items loading on the factor; Gomez and Stavropoulos, 2018). Specifically, while no differences were reported considering Greek and Cypriot adolescents (i.e., full metric invariance found in Study 2 ), for the American and Australian emergent adult Internet gamers, item one appeared to load significantly differently between the two samples.…”
Section: Discussionmentioning
confidence: 68%
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“…These pairs were matched in terms of the language of delivery of the scale ( Study 1 : the OFQ in English; Study 2 : the OFQ in Greek), the age ranges ( Study 1: emergent adults; Study 2: adolescents) and the mode of the data collection ( Study 1: online; Study 2: face to face), to concurrently control for factors influencing the analyses, other than that of the country of origin (Kwiatkowska and Rogoza, 2017; Zavala-Rojas and Saris, 2017; Zhang X. et al, 2017). In brief, and despite the results confirming the single factor structure of the OFQ across all four samples, group differences were revealed at the level of the metric invariance analysis (i.e., the strength of the items loading on the factor; Gomez and Stavropoulos, 2018). Specifically, while no differences were reported considering Greek and Cypriot adolescents (i.e., full metric invariance found in Study 2 ), for the American and Australian emergent adult Internet gamers, item one appeared to load significantly differently between the two samples.…”
Section: Discussionmentioning
confidence: 68%
“…As for the United States sample the chi-square value was significant (χ 2 = 15.487, df = 5, p = 0.0085, CFI = 0.973, TLI = 0.946, RMSEA = 0.068; see Figure 2), indicating a lack of absolute fit for the one-factor structure of the OFQ. However, due to the sensitivity of the chi-square test to the sample size, the degree of correlations in the model (Kenny, 2014), and in line with past MI studies (Gomez and Stavropoulos, 2018), incremental measures of fit guided the interpretation of the model. Following benchmarks recommended in the literature the CFI 2 , TLI 3 , and RMSEA 4 coefficients were deemed indicative of a good incremental model fit.…”
Section: Resultsmentioning
confidence: 90%
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