2023
DOI: 10.1186/s12888-023-04700-4
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An investigation of the relationships between suicidal ideation, psychache, and meaning in life using network analysis

Abstract: Background Previous studies have investigated the relationships between psychache or meaning in life and suicidal ideation based on sum score of corresponding scale. However, this practice has hampered the fine-grained understanding of their relationships. This network analysis study aimed to conduct a dimension-level analysis of these constructs and the relationships among them in a joint framework, and identify potential intervention targets to address suicidal ideation. … Show more

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Cited by 8 publications
(2 citation statements)
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“…Unlike the latent variable model, which views latent variables as the co‐dominant factors of the observed variables, the network analysis model takes the observed variables as the main indicators (Borsboom, 2008). It can visualize active interrelationships within variables as a network consisting of nodes (dimensions) and edges (correlations between dimensions), thus overcoming the shortcomings of traditional methods that passively treat dimensions as latent variables (Galderisi et al, 2018; Li et al, 2023). In addition, network analysis can provide centrality and predictability indices to assess the relative importance and controllability of each node in the network (Contreras et al, 2019; Haslbeck & Fried, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Unlike the latent variable model, which views latent variables as the co‐dominant factors of the observed variables, the network analysis model takes the observed variables as the main indicators (Borsboom, 2008). It can visualize active interrelationships within variables as a network consisting of nodes (dimensions) and edges (correlations between dimensions), thus overcoming the shortcomings of traditional methods that passively treat dimensions as latent variables (Galderisi et al, 2018; Li et al, 2023). In addition, network analysis can provide centrality and predictability indices to assess the relative importance and controllability of each node in the network (Contreras et al, 2019; Haslbeck & Fried, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…Network analysis is an emerging statistical method that allows the analysis of relationships between dimensions and does not rely on theoretical models assuming dependent variables. It is based on a network theoretical perspective to reflect the active interactions of dimensions of variables and can overcome the shortcomings of traditional methods that passively treat dimensions as latent variables (Li et al, 2023). This allows for investigating intricate and real-world correlations among multidimensional components.…”
Section: Introductionmentioning
confidence: 99%