Danielle J Rieger
Biographic Data
| ID | 9518960 |
|---|---|
| NAME | Danielle J Rieger |
| GIVEN NAMES | Danielle J |
| FAMILY NAME | Rieger |
| SIGNATURE | RIEGER D J |
| AFFILIATIONS | Carleton University, Ottawa, Canada |
| ORCID | 0000-0001-6705-3914 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Optimized Risk Assessment in Forensic Practice
As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests). Prior comparisons between approaches have produced similarly acceptable levels of predictive validity. This study compares scorin…
Examining Trajectories of Change on the Dynamic Risk Assessment for Offender Re-Entry (DRAOR)
Dynamic risk scales have largely been evaluated using singular assessment scores, including those obtained at the start of supervision. While this approach includes assessment of dynamic factors, it ignores changes with reassessment, failing to examine whether an instrument is truly dynamic in nature. This is problematic, as proximal risk assessments have consistently outperformed baseline assessments in the prediction of recidivism. In the curre…
Informing Large-Scale Emergent Decarceration Efforts
Large-scale emergent decarceration efforts introduce challenges for time and resources that prohibit jurisdictions from employing best practices in release decisions. Best practice includes a structured professional judgment approach by paroling authorities to incorporate group-level predicted risk and individual-level assessment of current risk and suitability for release. Absent the ability to expand parole review, jurisdictions should ensure d…
Examining Optimal Weights for the Youth Assessment and Screening Instrument in North Dakota
The purpose of deriving weights for factors is to identify and discover what items have the strongest relation to the outcome of interest to create an assessment with the best predictive validity. The current study examined and compared weighted and nonweighted models for the pre-screen of the Youth Assessment and Screening Instrument (YASI). The total sample of 6,175 youth from the state of North Dakota, United States, was divided into the calib…
Parole Decision-Making and Empirical Practice
Paroling authorities should have a clear understanding of the empirical support for factors considered in suitability determinations. We presented a survey to paroling authorities across the United States and Canada to examine their purview and information considered in decision-making. We situated the findings among existing empirical research suggesting best practices for consideration of specific factors in parole decision-making. Paroling aut…
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Parole Decision-Making and Empirical Practice
Paroling authorities should have a clear understanding of the empirical support for factors considered in suitability determinations. We presented a survey to paroling authorities across the United States and Canada to examine their purview and information considered in decision-making. We situated the findings among existing empirical research suggesting best practices for consideration of specific factors in parole decision-making. Paroling aut…
Examining Optimal Weights for the Youth Assessment and Screening Instrument in North Dakota
The purpose of deriving weights for factors is to identify and discover what items have the strongest relation to the outcome of interest to create an assessment with the best predictive validity. The current study examined and compared weighted and nonweighted models for the pre-screen of the Youth Assessment and Screening Instrument (YASI). The total sample of 6,175 youth from the state of North Dakota, United States, was divided into the calib…
Optimized Risk Assessment in Forensic Practice
As correctional jurisdictions and risk instrument developers look to optimize scoring for specific population needs, an open question remains ‐ which method is optimal. Popular scoring methods range from manual simple scoring approaches (e.g., Burgess) to more complex machine learning algorithms (e.g., random forests). Prior comparisons between approaches have produced similarly acceptable levels of predictive validity. This study compares scorin…
Examining Trajectories of Change on the Dynamic Risk Assessment for Offender Re-Entry (DRAOR)
Dynamic risk scales have largely been evaluated using singular assessment scores, including those obtained at the start of supervision. While this approach includes assessment of dynamic factors, it ignores changes with reassessment, failing to examine whether an instrument is truly dynamic in nature. This is problematic, as proximal risk assessments have consistently outperformed baseline assessments in the prediction of recidivism. In the curre…
Informing Large-Scale Emergent Decarceration Efforts
Large-scale emergent decarceration efforts introduce challenges for time and resources that prohibit jurisdictions from employing best practices in release decisions. Best practice includes a structured professional judgment approach by paroling authorities to incorporate group-level predicted risk and individual-level assessment of current risk and suitability for release. Absent the ability to expand parole review, jurisdictions should ensure d…
Criminal Justice and Corrections Analysis (4 works) · Psychology (3 works) · Psychopathy, Forensic Psychiatry, Sexual Offending (3 works) · Risk assessment (3 works) · Computer Science (2 works) · Crime Patterns and Interventions (2 works) · Engineering (2 works) · Human Factors and Ergonomics (2 works) · Poison control (2 works) · Political science (2 works)