The individualisation of noise
Description
This dataset contains open-ended questionnaire responses from 145 urban Indonesian residents concerning their perception of and coping behaviour toward environmental noise. The data were collected through an exploratory qualitative questionnaire administered in Bahasa Indonesia, in which respondents described noise sources they encountered, how they conceived of or interpreted that noise, and the actions they took in response. The dataset supports the article "The individualisation of noise: divergent appraisals, convergent coping in urban Indonesia" and is grounded in the transactional stress-appraisal framework of Lazarus and Folkman (1984). Responses were coded into three variable blocks: Noise Source (3 categories), Noise Conception (6 categories), and Noise Solution (5 categories). Contextual anchors on location, activity, and time of noise were recorded to support respondent recall. The coded data were analysed through Multiple Correspondence Analysis (MCA). Files included: the anonymised response data, a codebook defining all categories and coding decisions, and a README documenting the variable structure and file organisation. All responses have been anonymised; no personally identifying information is included.
Files
Steps to reproduce
1. Instrument design. An open-ended qualitative questionnaire was constructed in Bahasa Indonesia. Respondents were asked to describe the noise sources they encountered, how they conceived of or interpreted that noise, and the actions they took in response. Contextual anchors on location, activity, and time of noise were included to support respondent recall, following the encoding specificity principle (Tulving and Thomson 1973; Tourangeau, Rips and Rasinski 2000). 2. Data collection. The questionnaire was administered to urban Indonesian residents, yielding 145 valid responses. Responses were recorded in text form and compiled into a spreadsheet. 3. Coding. Free-text responses were coded into three variable blocks: Noise Source (3 categories), Noise Conception (6 categories), and Noise Solution (5 categories). Category naming combined theory-derived labels (from Lazarus and Folkman's cognitive appraisal framework) and inductively derived labels, as documented in the accompanying codebook. 4. Analysis. The coded categorical data were analysed using Multiple Correspondence Analysis (MCA) in JMP Pro 19.0. Two focused analyses were conducted: MCA 1 examined the relationship between Noise Source and Noise Conception, with Age as a supplementary variable; MCA 2 examined the relationship between Noise Conception and Noise Solution. Inertia was adjusted using Greenacre's method to correct for the systematic understatement of variance in the Burt matrix. Squared cosines (cos²) were computed to assess the quality of representation of categories on the retained dimensions. 5. Software. JMP Pro 19.0 for MCA; spreadsheet software for data compilation and Greenacre inertia adjustment; supplementary cos² computation from extracted coordinates.