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Appendix D - Monthly Weights Applied to Quarter Sessions Tasks

from Appendices

Published online by Cambridge University Press:  19 September 2025

Jane Whittle
Affiliation:
University of Exeter
Mark Hailwood
Affiliation:
University of Bristol
Hannah Robb
Affiliation:
Birkbeck, University of London
Taylor Aucoin
Affiliation:
University of Edinburgh

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Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2025
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0 https://creativecommons.org/cclicenses/

Appendix D Monthly Weights Applied to Quarter Sessions Tasks

D.1
A table depicts monthly deposition data, quarter sessions exams sampled, deviations from a 12-month average of 8.3%, and regional multipliers that is South-west, East, and North. See long description.

a. = 2/3rd one-to-one multiplier + 1/3rd one-to-one multiplier of the following month. The three regional weights do not average out exactly to the overall weighted multiplier because the regional samples are different sizes.

Notes: Appendix D outlines the monthly weighting applied to seasonality analyses in this book, as discussed in Section 4.1. These weights were applied only to tasks from quarter sessions cases for seasonality analysis, to approximate an even sample of depositions across all 12 months of the year. As the table shows, the number of sampled quarter sessions depositions was not evenly distributed according to the months in which depositions were taken/recorded. This presents an issue because a clear relationship existed between when a quarter sessions deposition was taken, and the time observation reported. A sampling of quarter sessions cases from the work-task dataset shows that around 50 per cent of time observations (usually linked to time of the crime) dated to the same month as when the deposition was taken, with a further 25 per cent of the time observations dated to the month prior to month of deposition. The remaining 25 per cent of time observations were spread throughout the rest of the months of the year prior to deposition. Assuming this latter dispersed portion had a negligible effect (in any systematic way) on the distribution of monthly tasks, the number of quarter sessions tasks in any given month would be influenced most strongly by the number of depositions taken in that same month, and half as much by the number of depositions taken in the following month. The ‘Weighted Multiplier’, used in all seasonality analysis, reflects this relationship, so that adjusted figures more confidently reflect work patterns, rather than legal or sampling patterns. In calculating a month’s multiplier, 2/3rd weight was given to that month’s one-to-one multiplier (the multiplier that would be used to reweight if the relationship between month of deposition and month of time observation was one-to-one) and 1/3rd weight to the following month’s one-to-one multiplier. For example, January’s weighted multiplier is the average of 2 × 1.11 (January’s one-to-one multiplier) + 1.44 (February’s one-to-one multiplier) = 1.22. These same principles and processes were followed in calculating monthly weights for the three regional samples, used in the seasonality analysis for Figure 3.1.

Appendix D.1Long description

The table presents labor-related deposition data by month, including exam samples, deviations from an annual average, and weighted multipliers for three regions. The data is organized by month with corresponding statistical values. The first column represents the deposition month, followed by eight columns namely quarter sessions exams sampled, percentage, deviation from 12-month average of 8.3%, one-to-one multiplier, weighted multiplier, south-west, east, north.

  • For January, the corresponding values are 698, 7.5, negative 0.8, 1.11, 1.22, 1.54, 1.18, 0.99.

  • For February, the corresponding values are 536, 5.8, negative 2.6, 1.44, 1.36, 1.81, 1.14, 1.17.

  • For March, the corresponding values are 645, 6.9, negative 1.4, 1.20, 1.12, 1.16, 1.08, 1.10.

  • For April, the corresponding values are 812, 8.7, 0.4, 0.95, 0.91, 0.85, 1.00, 0.94.

  • For May, the corresponding values are 944, 10.2, 1.8, 0.82, 0.83, 0.74, 1.04, 0.84.

  • For June, the corresponding values are 919, 9.9, 1.6, 0.84, 0.92, 0.88, 1.08, 0.90.

  • For July, the corresponding values are 716, 7.7, negative 0.6, 1.08, 1.13, 1.11, 1.17, 1.14.

  • For August, the corresponding values are 636, 6.8, negative 1.5, 1.22, 1.12, 1.03, 1.13, 1.29.

  • For September, the corresponding values are 829, 8.9, 0.6, 0.93, 0.98, 1.00, 0.84, 1.09.

  • For October, the corresponding values are 723, 7.8, negative 0.6, 1.07, 1.04, 1.08, 0.98, 1.08.

  • For November, the corresponding values are 795, 8.6, 0.2, 0.97, 0.90, 0.87, 1.04, 0.88.

  • For December, the corresponding values are 1,040, 11.2, 2.9, 0.74, 0.87, 0.92, 0.81, 0.88.

  • For Total, the corresponding values are 9,293, 100, not applicable, not applicable, N/A, not applicable, not applicable, not applicable.

Footnotes

a. = 2/3rd one-to-one multiplier + 1/3rd one-to-one multiplier of the following month. The three regional weights do not average out exactly to the overall weighted multiplier because the regional samples are different sizes.

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