2020
DOI: 10.1016/j.dcn.2020.100867
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Description, prediction and causation: Methodological challenges of studying child and adolescent development

Abstract: Scientific research can be categorized into: a) descriptive research, with the main goal to summarize characteristics of a group (or person); b) predictive research , with the main goal to forecast future outcomes that can be used for screening, selection, or monitoring; and c) explanatory research , with the main goal to understand the underlying causal mechanism, which can then be used to develop interventions. Since each goal requires diff… Show more

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Cited by 78 publications
(55 citation statements)
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“…Such differences are unfortunate because they have to be statistically controlled for and reduce the power of the analyses. But in the absence of a pretest such unmeasured differences might lead to invalid conclusions [ 50 ].…”
Section: Discussionmentioning
confidence: 99%
“…Such differences are unfortunate because they have to be statistically controlled for and reduce the power of the analyses. But in the absence of a pretest such unmeasured differences might lead to invalid conclusions [ 50 ].…”
Section: Discussionmentioning
confidence: 99%
“… Van der Veen et al (2020) introduce a comprehensive overview of the application of rodent models in human cohorts, and highlight the added value of a controlled experiment allowing investigation of the mechanism underlying proposed relationships in human - and in particular - adolescent development. By presenting a unique comprehensive overview, the paper by Hamaker et al (2020) inspires developmental scientists to critically reflect on the consistency between proposed research goals (descriptive, predictive, and explanatory) and research design/analysis. Moreover, after analyzing this (mis)match in 100 published studies within CID, this paper introduces some interesting ‘novel’ techniques for developmental scientists to consider in future research.…”
Section: Overviewmentioning
confidence: 99%
“…This might include simple tasks, such as quantifying the association between the level of psychological distress at baseline and the rate of premature termination from treatment, to more complex tasks such as using hundreds of variables to predict the risk of dropout during treatment. Finally, explanation focuses on understanding driving forces and casual mechanisms for certain phenomena (Hamaker, Mulder, & van IJzendoorn, 2020;Hernán, 2018;Shmueli, 2010) Scholars from different fields of research have devoted much time to clarifying the relationship between these constructs by asking questions such as: is it possible to predict what will occur in a specific situation without being able to explain the phenomenon? And, is it possible to explain a phenomenon without being able to predict it?…”
Section: Description Prediction and Explanationmentioning
confidence: 99%
“…According to Hamaker et al (2020), there has been a tendency in the general research community to view description and prediction as subordinate motives, or merely as springboards to the higher goal of explanation. Yet, if applied in adequate ways, prediction and explanation are vital parts for scientific development.…”
Section: Description Prediction and Explanationmentioning
confidence: 99%
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