Identifying Informative Features to Evaluate Student Knowledge as Causal Maps

Wang, Bao; Giabbanelli, Philippe J.

doi:10.1007/s40593-023-00329-2

Cited by 3 publications

(2 citation statements)

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“…For instance, other studies have reported the "ruggedness" (i.e., number of components) (Strautmane, 2012), the number of paths (Ifenthaler, 2010), or custom measures (e.g., percentage of nodes with in-and out-degree larger than one in Plate ( 2010)). It was recently shown that many of these measures are related, hence using more measures does not necessarily yield more insight (Wang and Giabbanelli, 2023). We thus focused on measures that are commonly used in systems science, so that our findings can be interpreted within the context of public health.…”

Section: Discussionmentioning

confidence: 99%

“…Figure 2 exemplifies how centralities might be calculated on a fragment of the NCIPC model. These centrality measures have been used in numerous other studies on network science for public health (Power et al, 2022;Brauer et al, 2022;Smith et al, 2022), as well as in other comparative studies on systems maps (Krabbe, 2014;Kim and McCarthy, 2021;Wang and Giabbanelli, 2023).…”

Section: Analyzing Systems Mapsmentioning

confidence: 99%

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Guiding prevention initiatives by applying network analysis to systems maps of adverse childhood experiences and adolescent suicide

Maldonado,

Schuerkamp,

Martin

et al. 2024

Net Sci

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Suicide is a leading cause of death in the United States, particularly among adolescents. In recent years, suicidal ideation, attempts, and fatalities have increased. Systems maps can effectively represent complex issues such as suicide, thus providing decision-support tools for policymakers to identify and evaluate interventions. While network science has served to examine systems maps in fields such as obesity, there is limited research at the intersection of suicidology and network science. In this paper, we apply network science to a large causal map of adverse childhood experiences (ACEs) and suicide to address this gap. The National Center for Injury Prevention and Control (NCIPC) within the Centers for Disease Control and Prevention recently created a causal map that encapsulates ACEs and adolescent suicide in 361 concept nodes and 946 directed relationships. In this study, we examine this map and three similar models through three related questions: (Q1) how do existing network-based models of suicide differ in terms of node- and network-level characteristics? (Q2) Using the NCIPC model as a unifying framework, how do current suicide intervention strategies align with prevailing theories of suicide? (Q3) How can the use of network science on the NCIPC model guide suicide interventions?

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Section: Discussionmentioning

confidence: 99%