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  1. 1
    “…To address this problem, several researchers have proposed multiple criteria to assess bifactor models, such as a) conceptual grounds, b) overall model fit indices, and c) specific bifactor model indicators. In this article, we provide a brief summary of these criteria. An example using data gathered from a recently published research article is also provided to show how taking into account all criteria, rather than solely SEM model fit indices, may prevent researchers from drawing wrong conclusions.…”
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  2. 2
    “…In this sense, modification indices provide useful information about additional specifications that could be done to improve model fit. …”
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  3. 3
    “…A direct search of digital databases for instrumental studies that analyze the PWBS-E identified nine papers providing relevant information. As for studies using confirmatory factor analysis, differences regarding software and estimation methods were observed, but the majority of them does not indicate which type of correlation matrix was used. …”
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  4. 4
    “…Furthermore, the bivariate association between the dimensions of the construct and the measures of academic burnout, depression and anxiety was significant (r> .20), although a subsequent hierarchical regression indicated that it only provides a significant variation to academic burnout (ΔR2> .10). …”
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