[article]
Titre : |
Editorial: Correlation and causation: to study causality in psychopathology |
Type de document : |
Texte imprimé et/ou numérique |
Auteurs : |
A. LERVAG, Auteur |
Article en page(s) : |
p.603-605 |
Langues : |
Anglais (eng) |
Index. décimale : |
PER Périodiques |
Résumé : |
The desire to seek explanations and causal patterns is deeply embedded in human nature. This has long been acknowledged, and as early as 29 BC Virgil stated "Lucky is he who has been able to understand the causes of things" (Pearl & Mackenzie, 2018). Yet still, the science of causality is quite new, and has developed much more recently than for instance probability and significance testing (Pearl, 2018). However, during the last 10-15 years a new focus on causal inference has affected how scientists think in most empirical fields in a way that some even argue represents a causal revolution (Pearl, 2018). The increased understanding of the logic behind causal reasoning has also affected how we study psychopathological development. It is now well acknowledged that the complexity of development and developmental disorders means we require explanations on different levels, using different research designs. The articles in this issue illustrate this in various ways. |
En ligne : |
http://dx.doi.org/10.1111/jcpp.13074 |
Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=397 |
in Journal of Child Psychology and Psychiatry > 60-6 (June 2019) . - p.603-605
[article] Editorial: Correlation and causation: to study causality in psychopathology [Texte imprimé et/ou numérique] / A. LERVAG, Auteur . - p.603-605. Langues : Anglais ( eng) in Journal of Child Psychology and Psychiatry > 60-6 (June 2019) . - p.603-605
Index. décimale : |
PER Périodiques |
Résumé : |
The desire to seek explanations and causal patterns is deeply embedded in human nature. This has long been acknowledged, and as early as 29 BC Virgil stated "Lucky is he who has been able to understand the causes of things" (Pearl & Mackenzie, 2018). Yet still, the science of causality is quite new, and has developed much more recently than for instance probability and significance testing (Pearl, 2018). However, during the last 10-15 years a new focus on causal inference has affected how scientists think in most empirical fields in a way that some even argue represents a causal revolution (Pearl, 2018). The increased understanding of the logic behind causal reasoning has also affected how we study psychopathological development. It is now well acknowledged that the complexity of development and developmental disorders means we require explanations on different levels, using different research designs. The articles in this issue illustrate this in various ways. |
En ligne : |
http://dx.doi.org/10.1111/jcpp.13074 |
Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=397 |
|