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Our methodological conclusions are therefore 2-fold.
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The methodological conclusion is that, when using structural equation models, researchers should attend to significant model ill fit even if the degree of covariance ill fit is small, because small covariance residuals do not imply that the underlying model misspecifications are correspondingly small or inconsequential.
Methodological and substantive conclusions are derived.
When studies on measurement properties have good methodological quality, their conclusions are more trustworthy.
Conclusions are limited by methodological constraints.
Although there is some evidence for efficacy, conclusions are limited by methodological challenges [ 4, 6– 9].
When studies are deemed to have good methodological quality, it indicates that their conclusions are more trustworthy.
In conclusion, whilst we agree with many of the comments on the methodological quality of the literature, our review conclusions are based on the available contemporaneous evidence.
This study's conclusions are limited by its methodological deficiencies.
The formulation and testing of the hypotheses developed benefited from the decisive contribution of multivariate statistical analysis, allowing rigorous methodological conclusions to be reached.
Finally, some conclusions are drawn, based on the experience gained from the application of the proposed methodological approach and the results obtained from the specific case study.
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