23 research outputs found

    Relationshipsbetween users' length of stay and their evaluation of acoustics.

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    <p>(a) Between length of stay and evaluation of subjective loudness; (b) Between length of stay and evaluation of acoustic comfort.</p

    Relationships between occupation and evaluation of acoustic comfort.

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    <p>The table shows chi-square test contingency coefficients between occupation and evaluation of acoustic comfort, when income or education is fixed at a level, namely income is from 151 to 300 US dollar, education level is graduate or higher, where the significance levels (2-tailed) are also shown, with ** indicating p<0.01, and *indicating p<0.05.</p

    Differences among age groups in terms of evaluation of subjective loudness and acoustic comfort.

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    <p>Differences among age groups in terms of evaluation of subjective loudness and acoustic comfort.</p

    Relationships among income, education level, and occupation.

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    <p>The table shows chi-square test correlation coefficients between income and education level, and chi-square test contingency coefficients between occupation and income as well as education level, where the significance levels (2-tailed) are also shown, with ** indicating p<0.01, and * indicating p<0.05.</p

    Relationships between users' evaluation of acoustic comfort and income, as well as education level.

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    <p>The table shows chi-square test correlation coefficients between income or education level and evaluation of acoustic comfort, when occupation is fixed as worker, where the significance levels (2-tailed) are also shown, with ** indicating p<0.01, and * indicating p<0.05.</p

    Basic information of the survey sites.

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    <p>The basic information includes size, sound sources, the number of interviews conducted, average SPL, average subjective loudness (1, very quiet; 2, quiet; 3, neither quiet nor loud; 4, loud; and 5, very loud) and acoustic comfort (1, very uncomfortable; 2, uncomfortable; 3, neither comfortable nor uncomfortable; 4, comfortable; and 5, very comfortable). ‘NI’ means number of interviews, ‘Aver. SL’ means average evaluation of subjective loudness, and ‘Aver.AC’ means average evaluation of acoustic comfort.</p

    The effect of users' income and education on evaluation of acoustic comfort.

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    <p>The table shows multiple regression analysis <i>R</i><sub>adj</sub><sup>2</sup> with standardised coefficient between income or education level and evaluation of acoustic comfort, where the significance levels (2-tailed) are also shown, with <sup>**</sup> indicating <i>p</i><0.001.</p

    Differences among occupations in terms of evaluation of subjective loudness and acoustic comfort.

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    <p>Differences among occupations in terms of evaluation of subjective loudness and acoustic comfort.</p

    Relationships between users' frequency of visit and their evaluation of acoustics.

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    <p>(a) Between frequency of visit and evaluation of subjective loudness; (b) Between frequency of visit and evaluation of acoustic comfort.</p

    Relationship between behavioural characteristics and evaluation of subjective loudness, as well as acoustic comfort.

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    <p>The table includes mean difference between persons with partners and without, chi-square test correlation coefficients for frequency of coming, income, education level, and chi-square test contingency coefficients for reason for visit, where the significance levels are also shown, with ** indicating p<0.01, and * indicating p<0.05. SL represents evaluation of subjective loudness, and AC represents evaluation of acoustic comfort.</p
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