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Simply Criminal: Predicting Burglars’ Occupancy Decisions with a Simple Heuristic

Overview of attention for article published in Law and Human Behavior, August 2011
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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1 X user
peer_reviews
1 peer review site
wikipedia
1 Wikipedia page

Readers on

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63 Mendeley
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Article details
Title
Simply Criminal: Predicting Burglars’ Occupancy Decisions with a Simple Heuristic
Published in
Law and Human Behavior, August 2011
DOI 10.1007/s10979-010-9238-0
Pubmed ID
Authors
Abstract

Rational choice theories of criminal decision making assume that offenders weight and integrate multiple cues when making decisions (i.e., are compensatory). We tested this assumption by comparing how well a compensatory strategy called Franklin's Rule captured burglars' decision policies regarding residence occupancy compared to a non-compensatory strategy (i.e., Matching Heuristic). Forty burglars each decided on the occupancy of 20 randomly selected photographs of residences (for which actual occupancy was known when the photo was taken). Participants also provided open-ended reports on the cues that influenced their decisions in each case, and then rated the importance of eight cues (e.g., deadbolt visible) over all decisions. Burglars predicted occupancy beyond chance levels. The Matching Heuristic was a significantly better predictor of burglars' decisions than Franklin's Rule, and cue use in the Matching Heuristic better corresponded to the cue ecological validities in the environment than cue use in Franklin's Rule. The most important cue in burglars' models was also the most ecologically valid or predictive of actual occupancy (i.e., vehicle present). The majority of burglars correctly identified the most important cue in their models, and the open-ended technique showed greater correspondence between self-reported and captured cue use than the rating over decision technique. Our findings support a limited rationality perspective to understanding criminal decision making, and have implications for crime prevention.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 3%
United States 1 2%
New Zealand 1 2%
Switzerland 1 2%
Brazil 1 2%
Unknown 57 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 13 21%
Researcher 13 21%
Student > Master 10 16%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 7 11%
Unknown 12 19%
Readers by discipline
Readers by discipline Count As %
Psychology 17 27%
Social Sciences 16 25%
Business, Management and Accounting 7 11%
Environmental Science 2 3%
Design 2 3%
Other 4 6%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2026.
All research outputs
#10,387,812
of 34,526,284 outputs
Outputs from Law and Human Behavior
#467
of 1,199 outputs
Outputs of similar age
#56,620
of 167,907 outputs
Outputs of similar age from Law and Human Behavior
#2
of 7 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 167,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.