The effects of a dropout prevention program on secondary students' outcomes

Conti, Enrico; Duranti, Silvia; Mattei, Alessandra; Mealli, Fabrizia; Senesi, N.

doi:10.3280/riv2014-058003

Cited by 3 publications

(5 citation statements)

References 21 publications

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“…All subjects were assessed with the Italian version of the following rating scales: the Early Trauma Inventory Self Report-Short Form (ETISR-SF) (Bremner et al, 2007; Pietrini et al, 2010), the Biological Rhythms Interview of Assessment in Neuropsychiatry (BRIAN) (Giglio et al, 2009; Moro et al, 2014), the Scale for Suicide Ideation (SSI) (Beck et al, 1979; Conti, 1999), the Beck Depression Inventory-II (BDI-II) (Beck et al, 1996; Ghisi et al, 2006), the Young Mania Rating Scale (YMRS) (Conti, 1999; Young et al, 1978), and the Insomnia Severity Index (ISI) (Castronovo et al, 2016; Morin, 1993).…”

Section: Methodsmentioning

confidence: 99%

“…The clinician rates the severity of the symptoms. A YMRS total score higher than 7 is indicative of manic symptoms (Conti, 1999; Young et al, 1978).…”

Section: Methodsmentioning

confidence: 99%

“…The SSI is a clinician rating scale and consists of 19 items that evaluate three dimensions of suicide ideation: active suicidal desire, specific plans for suicide, and passive suicidal desire. A score higher than 6 has been used as a cutoff threshold for clinically significant suicidal ideation (Beck et al, 1979; Conti, 1999).…”

Section: Methodsmentioning

confidence: 99%

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Early Life Stress and Chronobiological Rhythms Desynchronization

et al. 2021

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The study aimed at investigating the potential impact of early stressful events on the clinical manifestations of bipolar disorder (BD). A sample of 162 adult individuals with BD was assessed using the Structural Clinical Interview for DSM-5, the Beck Depression Inventory-II, the Young Mania Rating Scale, the Early Trauma Inventory Self Report-Short Form, the Biological Rhythms Interview of Assessment in Neuropsychiatry, the Insomnia Severity Index, and the Scale for Suicide Ideation. A significant path coefficient indicated a direct effect of early life stressors on biological rhythms (coeff. = 0.26; p < 0.001) and of biological rhythms on depressive symptoms (coeff. = 0.5; p < 0.001), suicidal risk (coeff. = 0.3; p < 0.001), and insomnia (coeff. = 0.34; p < 0.001). Data suggested that the desynchronization of chronobiological rhythms might be one mediator of the association between early life stress and the severity of mood symptoms/suicidal ideation in BD. Addressing circadian rhythm alterations in subjects exposed to early stressors would help in preventing consequences of those stressors on BD.

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Section: Methodsmentioning

confidence: 99%

“…The clinician rates the severity of the symptoms. A YMRS total score higher than 7 is indicative of manic symptoms (Conti, 1999; Young et al, 1978).…”

Section: Methodsmentioning

confidence: 99%

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Early Life Stress and Chronobiological Rhythms Desynchronization

et al. 2021

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“…Covariates and forcing variable can be easily incorporated in a Bayesian approach, and they may also help reduce posterior variability of the estimates. Adjusting for S, and possibly for covariates, may be more difficult in randomization-based inference, even if there exist some results in the literature that may be fruitfully exploited in our RD setting (Rosenbaum, 2002;Conti et al, 2014).…”

Section: Inferencementioning

confidence: 99%

Regression Discontinuity Designs as Local Randomized Experiments

Mattei¹,

Mealli²

2017

Observational Studies

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In the seminal paper from 1960, Thistlethwaite and Campbell (1960) introduce the key ideas underlying regression discontinuity (RD) designs, which, even if initially almost completely ignored, have then acted as a fuse of a blowing number of studies applying and extending RD designs starting from the late nineties. Building on the original idea by Thistlethwaite and Campbell (1960), RD designs have been often described as designs that lead to locally randomized experiments for units with a realized value of a so-called forcing variable falling around a pre-fixed threshold. We embrace this perspective, and in this discussion we offer our view on how the original proposal by Thistlethwaite and Campbell (1960) should be formalized. We introduce an explicit local overlap assumption for a subpopulation around the threshold, for which we re-formulate the Stable Unit Treatment Value Assumption (SUTVA), and provide a formal definition of the hypothetical experiment underlying RD designs, by invoking a local randomization assumption. A distinguishing feature of this approach is that it embeds RD designs in a framework that is fully consistent with the potential outcome approach to causal inference. We discuss how to select suitable subpopulation(s) around the threshold with adjustment for multiple comparisons, and how to draw inference for the causal estimands of interest in this framework. We illustrate our approach in a study concerning the effects of University grants on students' dropout.

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“…These methods rely on mean quantities for the IV estimand such that covariate adjustment via models could be applied before the use of almost exact methods. Conti et al (2014) developed an alternative approach to covariate adjustment under randomization inference that is compatible with binary outcomes. Future work could explore the applicability of their form of covariate adjustment to the methods that were developed here.…”

Section: Extensionsmentioning

confidence: 99%

Randomization-based Instrumental Variables methods for Binary outcomes with an Application to the ‘IMPROVE’ trial

Keele

Small

Grieve

2016

Journal of the Royal Statistical Society Series A: Statistics in Society

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In randomized controlled trials with nonadherence, instrumental variable methods are frequently used to report the complier average causal effect. With binary outcomes, many of the available IV estimation methods impose distributional assumptions. We develop a randomization-inference based method of IV estimation for binary outcomes. The method is nonparametric, based on Fisher's exact test, and estimates can be easily calculated from a set of 2 × 2 or 2 × 2 × 2 tables. While we retain the standard IV identification assumptions for confidence regions and point estimates, the IV estimand under randomization inference is sample-specific, and does not assume the RCT participants are a random sample from the target population. We illustrate the method with the IMPROVE trial that compares emergency endovascular versus open surgical repair for patients with ruptured aortic aneurysms.

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The effects of a dropout prevention program on secondary students' outcomes

Cited by 3 publications

References 21 publications

Early Life Stress and Chronobiological Rhythms Desynchronization

Early Life Stress and Chronobiological Rhythms Desynchronization

Regression Discontinuity Designs as Local Randomized Experiments

Randomization-based Instrumental Variables methods for Binary outcomes with an Application to the ‘IMPROVE’ trial

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