A Bayesian approach for exploring person?*?environment interaction within the environmental sensitivity meta-framework / Francesca LIONETTI in Journal of Child Psychology and Psychiatry, 65-11 (November 2024)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1486-1500 Titre : A Bayesian approach for exploring person?*?environment interaction within the environmental sensitivity meta-framework Type de document : Texte imprimé et/ou numérique Auteurs : Francesca LIONETTI, Auteur ; Antonio CALCAGNÌ, Auteur ; Giulio D'URSO, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Michael PLUESS, Auteur ; Massimiliano PASTORE, Auteur Article en page(s) : p.1486-1500 Langues : Anglais (eng) Mots-clés : Differential susceptibility  diathesis-stress  vantage sensitivity  Bayesian approach  MCMC estimates Index. décimale : PER Périodiques Résumé : Background For investigating the individual?environment interplay and individual differences in response to environmental exposures as captured by models of environmental sensitivity including Diathesis-stress, Differential Susceptibility, and Vantage Sensitivity, over the last few years, a series of statistical guidelines have been proposed. However, available solutions suffer of computational problems especially relevant when sample size is not sufficiently large, a common condition in observational and clinical studies. Method In the current contribution, we propose a Bayesian solution for estimating interaction parameters via Monte Carlo Markov Chains (MCMC), adapting Widaman et al. (Psychological Methods, 17, 2012, 615) Nonlinear Least Squares (NLS) approach. Results Findings from an applied exemplification and a simulation study showed that with relatively big samples both MCMC and NLS estimates converged on the same results. Conversely, MCMC clearly outperformed NLS, resolving estimation problems and providing more accurate estimates, particularly with small samples and greater residual variance. Conclusions As the body of research exploring the interplay between individual and environmental variables grows, enabling predictions regarding the form of interaction and the extent of effects, the Bayesian approach could emerge as a feasible and readily applicable solution to numerous computational challenges inherent in existing frequentist methods. This approach holds promise for enhancing the trustworthiness of research outcomes, thereby impacting clinical and applied understanding. En ligne : https://doi.org/10.1111/jcpp.14000 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537 [article] A Bayesian approach for exploring person?*?environment interaction within the environmental sensitivity meta-framework [Texte imprimé et/ou numérique] / Francesca LIONETTI, Auteur ; Antonio CALCAGNÌ, Auteur ; Giulio D'URSO, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Michael PLUESS, Auteur ; Massimiliano PASTORE, Auteur . - p.1486-1500. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 65-11 (November 2024) . - p.1486-1500 Mots-clés : Differential susceptibility  diathesis-stress  vantage sensitivity  Bayesian approach  MCMC estimates Index. décimale : PER Périodiques Résumé : Background For investigating the individual?environment interplay and individual differences in response to environmental exposures as captured by models of environmental sensitivity including Diathesis-stress, Differential Susceptibility, and Vantage Sensitivity, over the last few years, a series of statistical guidelines have been proposed. However, available solutions suffer of computational problems especially relevant when sample size is not sufficiently large, a common condition in observational and clinical studies. Method In the current contribution, we propose a Bayesian solution for estimating interaction parameters via Monte Carlo Markov Chains (MCMC), adapting Widaman et al. (Psychological Methods, 17, 2012, 615) Nonlinear Least Squares (NLS) approach. Results Findings from an applied exemplification and a simulation study showed that with relatively big samples both MCMC and NLS estimates converged on the same results. Conversely, MCMC clearly outperformed NLS, resolving estimation problems and providing more accurate estimates, particularly with small samples and greater residual variance. Conclusions As the body of research exploring the interplay between individual and environmental variables grows, enabling predictions regarding the form of interaction and the extent of effects, the Bayesian approach could emerge as a feasible and readily applicable solution to numerous computational challenges inherent in existing frequentist methods. This approach holds promise for enhancing the trustworthiness of research outcomes, thereby impacting clinical and applied understanding. En ligne : https://doi.org/10.1111/jcpp.14000 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=537

Investigating sensitivity through the lens of parents: validation of the parent-report version of the Highly Sensitive Child scale / Alessandra SPERATI in Development and Psychopathology, 36-1 (February 2024)  

Public ISBD [article]  inDevelopment and Psychopathology > 36-1 (February 2024) . - p.415-428 Titre : Investigating sensitivity through the lens of parents: validation of the parent-report version of the Highly Sensitive Child scale Type de document : Texte imprimé et/ou numérique Auteurs : Alessandra SPERATI, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Massimiliano PASTORE, Auteur ; Michael PLUESS, Auteur ; Francesca LIONETTI, Auteur Article en page(s) : p.415-428 Langues : Anglais (eng) Mots-clés : Highly Sensitive Child scale  children  differential susceptibility  environmental sensitivity  parent report Index. décimale : PER Périodiques Résumé : Children differ in their environmental sensitivity (ES), which can be measured observationally or by self-report questionnaire. A parent-report scale represents an important tool for investigating ES in younger children but has to be psychometrically robust and valid. In the current multistudy, we validated the parent-report version of the Highly Sensitive Child (HSC-PR) scale in Italian children, evaluating its factorial structure (Study 1, N = 1,857, 6.2 years, age range: 2.6-14 years) through a multigroup Confirmatory Factory Analysis in preschoolers (n = 1,066, 4.2 years) and school-age children (n = 791, 8.8 years). We then investigated the HSC-PR relationship with established temperament traits (Study 2, N = 327, 4.3 years), before exploring whether the scale moderates the effects of parenting stress on children?s emotion regulation (Study 3, N = 112, 6.5 years). We found support for a bi-factor structure in both groups, though in preschoolers minor adaptations were suggested for one item. Importantly, the HSC-PR did not fully overlap with common temperament traits and moderated the effects of parenting stress on children emotion regulation. To conclude, the HSC-PR performs well and appears to capture ES in children. En ligne : https://dx.doi.org/10.1017/S0954579422001298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=523 [article] Investigating sensitivity through the lens of parents: validation of the parent-report version of the Highly Sensitive Child scale [Texte imprimé et/ou numérique] / Alessandra SPERATI, Auteur ; Maria SPINELLI, Auteur ; Mirco FASOLO, Auteur ; Massimiliano PASTORE, Auteur ; Michael PLUESS, Auteur ; Francesca LIONETTI, Auteur . - p.415-428. Langues : Anglais (eng) in Development and Psychopathology > 36-1 (February 2024) . - p.415-428 Mots-clés : Highly Sensitive Child scale  children  differential susceptibility  environmental sensitivity  parent report Index. décimale : PER Périodiques Résumé : Children differ in their environmental sensitivity (ES), which can be measured observationally or by self-report questionnaire. A parent-report scale represents an important tool for investigating ES in younger children but has to be psychometrically robust and valid. In the current multistudy, we validated the parent-report version of the Highly Sensitive Child (HSC-PR) scale in Italian children, evaluating its factorial structure (Study 1, N = 1,857, 6.2 years, age range: 2.6-14 years) through a multigroup Confirmatory Factory Analysis in preschoolers (n = 1,066, 4.2 years) and school-age children (n = 791, 8.8 years). We then investigated the HSC-PR relationship with established temperament traits (Study 2, N = 327, 4.3 years), before exploring whether the scale moderates the effects of parenting stress on children?s emotion regulation (Study 3, N = 112, 6.5 years). We found support for a bi-factor structure in both groups, though in preschoolers minor adaptations were suggested for one item. Importantly, the HSC-PR did not fully overlap with common temperament traits and moderated the effects of parenting stress on children emotion regulation. To conclude, the HSC-PR performs well and appears to capture ES in children. En ligne : https://dx.doi.org/10.1017/S0954579422001298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=523

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