Understanding the Latent Structure of Dynamic Risk: Seeking Empirical Constraints on Theory Development Using the VRS-SO and the Theory of Dynamic Risk Article Swipe
Mark E. Olver
,
David Thornton
,
Sarah M. Beggs Christofferson
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1177/10790632211002858
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1177/10790632211002858
The present study is part of a larger project aiming to more closely integrate theory with empirical research into dynamic risk. It seeks to generate empirical findings with the dynamic risk factors contained in the Violence Risk Scale—Sexual Offense version (VRS-SO) that might constrain and guide the further development of Thornton’s theoretical model of dynamic risk. Two key issues for theory development are (a) whether the structure of pretreatment dynamic risk factors is the same as the structure of the change in the dynamic risk factors that occurs during treatment, and (b) whether theoretical analysis should focus on individual dynamic items or on the broader factors that run through them. Factor analyses and item-level prediction analyses were conducted on VRS-SO pretreatment, posttreatment, and change ratings obtained from a large combined sample of men ( Ns = 1,289–1,431) convicted and treated for sexual offenses. Results indicated that the latent structure of pretreatment dynamic risk was best described by a three-factor model while the latent structure of change items was two dimensional. Prediction analyses examined the degree to which items were predictive beyond prediction obtained from the broader factor that they loaded on. Results showed that for some items, their prediction appeared to be largely carried by the three broad factors. In contrast, other items seem to operate as funnels through which the broader factors’ predictiveness flowed. Implications for theory development implied by these results are identified.
Related Topics
Concepts
Dynamic factor
Empirical research
Contrast (vision)
Psychology
Structural equation modeling
Econometrics
Sample (material)
Cognitive psychology
Social psychology
Risk analysis (engineering)
Computer science
Statistics
Artificial intelligence
Mathematics
Machine learning
Medicine
Chemistry
Chromatography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/10790632211002858
- https://journals.sagepub.com/doi/pdf/10.1177/10790632211002858
- OA Status
- hybrid
- Cited By
- 9
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3141270904
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3141270904Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/10790632211002858Digital Object Identifier
- Title
-
Understanding the Latent Structure of Dynamic Risk: Seeking Empirical Constraints on Theory Development Using the VRS-SO and the Theory of Dynamic RiskWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-05Full publication date if available
- Authors
-
Mark E. Olver, David Thornton, Sarah M. Beggs ChristoffersonList of authors in order
- Landing page
-
https://doi.org/10.1177/10790632211002858Publisher landing page
- PDF URL
-
https://journals.sagepub.com/doi/pdf/10.1177/10790632211002858Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://journals.sagepub.com/doi/pdf/10.1177/10790632211002858Direct OA link when available
- Concepts
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Dynamic factor, Empirical research, Contrast (vision), Psychology, Structural equation modeling, Econometrics, Sample (material), Cognitive psychology, Social psychology, Risk analysis (engineering), Computer science, Statistics, Artificial intelligence, Mathematics, Machine learning, Medicine, Chemistry, ChromatographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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