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Estimating the impact of health on NEET status

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TLDR
In this paper, a dynamic Structural Equation Model of ability formation was used to investigate the determinants of NEET status in adolescents, with a special focus on mental health.
Abstract
This paper uses a dynamic Structural Equation Model of ability formation to investigate the determinants of NEET (not in education, employment or training) status in adolescents, with special focus on health. The model addresses the issue of measurement error in estimating ability and mental health; and explores the determinants of ability and NEET status through time. The analysis finds that ability remains the key predictor of NEET status; and while general health plays an important role in the formation of ability for both girls and boys, the impact of mental health differs between the sexes.

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References
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
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Comparative fit indexes in structural models

TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
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The validity of two versions of the GHQ in the WHO study of mental illness in general health care

TL;DR: The shorter GHQ is remarkably robust and works as well as the longer instrument, and the latter should only be preferred if there is an interest in the scaled scores provided in addition to the total score.
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