Multilevel analysis of recent noise social survey data including noise sensitivity
Journal of the Acoustical Society of America(2018)
摘要
Noise social surveys are typified by large variation in annoyance ratings for equivalent noise exposure. Some of this variation has previously been linked to individual attitudes, including noise sensitivity. A framework provided by multilevel statistical analysis can be used to study the relationships between noise annoyance and individual attitudes. The current effort applies multilevel analysis to two recent community surveys of impulsive noise for which noise-sensitivity was assessed via a baseline survey. In the results, the sizable annoyance variation among respondents is quantified. Multilevel models with random effect terms for slope and or intercept describe more variation than multiple regression models with only fixed effects for noise exposure and noise sensitivity.
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