Pooling and Comparing Noise Annoyance Scores and "High Annoyance" (HA) Responses on the 5-Point and 11-Point Scales: Principles and Practical Advice.
conversion rules
exposure-response relationship
highly annoyed
pooled analysis
transportation noise
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
09 07 2021
09 07 2021
Historique:
received:
17
05
2021
revised:
02
07
2021
accepted:
05
07
2021
entrez:
24
7
2021
pubmed:
25
7
2021
medline:
12
8
2021
Statut:
epublish
Résumé
The use of different noise annoyance scales across studies and socio-acoustic surveys, in particular the popular 5-point verbal and 11-point numerical scales, has made the evaluation, comparison, and pooling of noise annoyance responses among studies a taxing issue. This is particularly the case when "high annoyance" (HA) responses need to be compared and when the original studies used different scales; thus, there are different so-called cutoff points that define the part of the scale that indicates the HA status. This paper provides practical guidance on pooling and comparing the respective annoyance data in both the linear and logistic regression context in a statistically adequate manner. It caters to researchers who want to carry out pooled analyses on annoyance data that have been collected on different scales or need to compare exposure-HA relationships between the 5-point and 11-point scales. The necessary simulation of a cutoff point non-native to an original scale can be achieved with a random assignment approach, which is exemplified in the paper using original response data from a range of recent noise annoyance surveys. A code example in the R language is provided for easy implementation of the pertinent procedures with one's own survey data. Lastly, the not insignificant limitations of combining and/or comparing responses from different noise annoyance scales are discussed.
Identifiants
pubmed: 34299790
pii: ijerph18147339
doi: 10.3390/ijerph18147339
pmc: PMC8306719
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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