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Journal of Psychopathology and Behavioral Assessment

Gepubliceerd in:

24-02-2020

Comparison of PTSD Symptom Centrality in Two College Student Samples

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 2/2020

Abstract

Network analysis is becoming more widely used as a method of understanding the structure and potential causal and influential relationships between symptoms within and across psychiatric syndromes such as posttraumatic stress disorder. Because large samples are often needed to yield more stable findings in network analysis, researchers often struggle to overcome limitations associated with small sample size. So, researchers often combine samples to ensure appropriate statistical power for analyses. Little research has been done, however, to determine whether such strategies are appropriate. The present study evaluates the network structure and indices of two college student samples (N = 668 and 456) from mid-sized cities to examine similarities and differences that might inform whether similar samples can be combined for network analysis. The findings suggest that the overall network structures are not different based on a network comparison analysis; however, centrality stability coefficients for centrality indices across both networks were below recommended cut-offs, indicating that the networks were generally unstable. We discuss the implications for these findings in the paper, highlighting that network comparison alone is likely insufficient in determining whether or not to combine samples for network analysis.

vorige artikel The Construct Validity of Distress Intolerance: Is it Distinct from Demoralization and Negative Emotionality?

volgende artikel Factor Structure and Multi-Group Measurement Invariance of Posttraumatic Stress Disorder Symptoms Assessed by the PCL-5

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Titel: Comparison of PTSD Symptom Centrality in Two College Student Samples
Publicatiedatum: 24-02-2020
Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment / Uitgave 2/2020
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI: https://doi.org/10.1007/s10862-020-09792-w

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