Synthetic sentencing dataset for the construction of a severity scale
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https://research.lancaster-university.uk/en/datasets/12ca31bc-0e2d-4a97-a91a-b5a0542d7779
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资源简介:
Dataset constructed to illustrate the construction of a sentencing
severity scale. The method is described in the paper Wallace, S. and
Francis, B. (2024)"Developing a Complete Sentence Severity Scale
using Extended Goodman RC models", Journal of Quantitative
Criminology. https://doi.org/10.1007/s10940-024-09591-6 The file is a CSV
file with a header, with 61066 cases synthesised from a real sentencing
dataset using the method described in Jackson, Mitra, Francis and
Dale(2022) JRSS Series A (https://doi.org/10.1111/rssa.12876) .The offense
codes are supplied in a separate PDF. The method of generating this
synthetic file is described in a supplementary file linked to the paper.
An analysis file is also supplied, showing the application of the method
in the paper to the synthetic dataset using R or RStudio. There are five
variables: SENTENCE1 Categorised sentence (29 levels) OFFENSE Categorised
offense categories (111 levels) PLEA_TYPE Plea made at court (guilty/not
guilty) PREV_CONV Previous court appearances (yes/no) NUM_OFF Number of
offenses at current court appearance (single/multiple)"Description
提供机构:
Lancaster University
创建时间:
2024-08-20



