Electronic product adoption: consumer survey questionnaire, data, and interpreted results

This project contains data obtained by a consumer survey on preferences regarding product adoption, use, functionality, and replacement.
These data support the publication: Kasulaitis, B., Babbitt, C.W., Tyler, A.C. "The role of consumer preferences in reducing material intensity of electronic products," Journal of Industrial Ecology (2020).DOI: 10.1111/jiec.13052

Data Contents:Data provided within this project include:
1) The survey questionnaire, provided here in both PDF and TXT formats, under the title "SurveyQuestions";2) The raw data generated by the survey panel (with weightings as described below) provided here in both Excel and SPSS formats, under the title "SurveyRawData"; 3) Data compiled from these raw results and used to create figures appearing in Kasulaitis et al. 2020, in an Excel file entitled "SurveyAnalyzedData";4) Additional graphical presentation and interpretation of data (entitled "InterpretedSurveyResults"), a PDF that includes results and findings beyond those appearing in the manuscript.
Additional Background:The Internet-based survey was developed by the authors with the support of Meliora Research, LLC, a market research and survey design firm, and administered in February 2015. The survey was administered to a panel of United States adults that was recruited and maintained by Lightspeed GMI, using their sampling and panel management platform.
The survey protocol and informed consent process was reviewed and approved by the Rochester Institute of Technology Institutional Review Board. The respondents’ identities remained confidential, and researchers had no contact with the respondents. The panel was designed to be a nationally representative population, and survey results are comprised of responses from 1,011 US adults, aged 18 years and older. This sample size, relative to the total population of U.S. adults, provided a margin of error of +/- 3% with a 95% confidence level.
Demographic characteristics of panel members were collected at the time of sampling. Statistical weighting was provided by Meliora Research to correct distribution of respondents to align with the US Census’ Population 2014 March Supplement. In determining weighting factors, socio-demographic characteristics, including education, age, gender, race/ethnicity, household income, and geographic region were evaluated.
The survey consisted of 40 questions designed to gain insight into the consumption and use of, attitudes towards, and relationships between personally owned electronic products, plus 10 demographic and screening questions.