2013
DOI: 10.3389/fpsyg.2013.00738
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The paired t-test as a simple latent change score model

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Cited by 69 publications
(64 citation statements)
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References 7 publications
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“…The variance of the change score represents interindividual differences in intraindividual change. Overall, the use of LC models with observed scores as dependent variables is comparable to calculating t tests/ANOVAs [54,56,57]. The similarities between these approaches have been highlighted elsewhere, and the approach has been successfully applied in a recent treatment study [58].…”
Section: Methodsmentioning
confidence: 99%
“…The variance of the change score represents interindividual differences in intraindividual change. Overall, the use of LC models with observed scores as dependent variables is comparable to calculating t tests/ANOVAs [54,56,57]. The similarities between these approaches have been highlighted elsewhere, and the approach has been successfully applied in a recent treatment study [58].…”
Section: Methodsmentioning
confidence: 99%
“…When the significance level was set at 0.05, there was no significant difference between the reference and predicted values in the 95% confidence intervals. In this case, the calibration model has good applicability …”
Section: Methodsmentioning
confidence: 99%
“…We choose to use a bivariate latent change score (bLCS) model as it allowed us to examine the development of neural and behavioral measures simultaneously without the constraints of measurement error 56,57 . A latent change score model can be conceptualized as a reparameterization of a paired t-test and has recently been highlighted for its usefulness in teasing apart the complex processes involved in longitudinal developmental research 58,59 . bLCS models were estimated for average cortical thickness and total surface area.…”
Section: Statistical Analysis Surface Area Cortical Thickness Hippomentioning
confidence: 99%