Evidence map›Paper›PMID 31211821›Full record

ArticlePloS one2019

Inter-rater reliability of vehicle color perception for forensic intelligence.

Khai Lee, Anis Amanina Abdul Fatah, Nuryuhanis Mohd Norizan, Zakiah Jefrey, Fatin Hanani Md Nawi, Wan Fatihah Khairunisa Wan Nor, Huan Xin Wong, Saiful Fazamil Mohd Ali, Poh Ying Lim, Kah Haw Chang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 6 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Khai LeeForensic Science Program, School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.ORCID 0000-0001-5877-5026
Anis Amanina Abdul FatahFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Nuryuhanis Mohd NorizanFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Zakiah JefreyFaculty of Resource Science and Technology, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Fatin Hanani Md NawiSchool of Marine and Environmental Sciences, Universiti Malaysia Terengganu, Kuala Terengganu, Terengganu, Malaysia.
Wan Fatihah Khairunisa Wan NorSchool of Marine and Environmental Sciences, Universiti Malaysia Terengganu, Kuala Terengganu, Terengganu, Malaysia.
Huan Xin WongDepartment of Chemistry, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia.
Saiful Fazamil Mohd AliCriminalistic Section, Forensic Division, Department of Chemistry, Petaling Jaya, Selangor, Malaysia.
Poh Ying LimDepartment of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Kah Haw ChangForensic Science Program, School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.ORCID 0000-0002-7214-8675
Ahmad Fahmi Lim AbdullahForensic Science Program, School of Health Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia.ORCID 0000-0003-2545-7472
Hospital Universiti Sains Malaysia · MYUniversiti Malaysia Sarawak · MYUniversiti Malaysia Terengganu · MYUniversiti Putra Malaysia · MYUniversity of Malaya · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The topcoat color of motor vehicles offers vital information while investigating vehicular accidents, especially in instance of hit-and-run, since witnesses seldom perceive and retain the plate details. Differences in color perceptions among individuals with normal vision may lead to confusion in determining the color of the car involved. In this way, witnesses of crash accidents could potentially initiate flawed leads in forensic investigation, and thus affect the administration of justice. In this study, the inter-rater reliability of vehicle color determination by different volunteers was explored. Six individuals observed the topcoat colors of 500 stationary and 500 moving vehicles from five locations, employing a common system of color gradation. The outcome was binary: the vehicle color was either a "match" or "non-match". This was followed by statistical analysis in terms of the colors' frequencies and inter-rater reliability, based on which more suitable color descriptions were determined for subsequent comparisons of stationary and moving vehicles. Higher match frequencies and greater inter-rater reliability were observed when color gradations were disregarded. The frequency of correct matches could have been closely related to their relative on-the-road distribution, regardless of the statuses of observed vehicles. It was also found that black and white were associated with a greater number of matches than were intermediate colors, which should be carefully interpreted during forensic investigation to avoid wrong leads. In conclusion, the present study demonstrated the forensic significance of vehicle topcoat color determination, particularly in cases where witness statements are crucial.

Indexed as

Accidents, TrafficColorColor PerceptionForensic SciencesAdultHumansMotor Vehicles

Identifiers

PMID31211821
PMCPMC6581429
OpenAlexW2950482516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.