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Community Attitudes Toward Manufactured Housing in Virgina

Bibliographic Data

ID13101303
AuthorsJorge H Atiles (0000-0001-8712-7116, corresponding author), Rosemary Carucci Goss, Julia O Beamish
Year1998
Volume25
Issue3
Pages1-22
Publication date1998-01-01
Open AccessNo
TypeARTICLE
VenueHousing and Society (JOURNAL)
Journal identifiersISSN: 2376-0923 • E-ISSN: 0888-2746
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/08882746.1998.11430293
OpenAlexW2572849252
LanguageEN
Citations received1
References cited3

This study surveyed the opinions and characteristics of 552 residents of eight rural counties in Virginia regarding acceptance of either single- or double-section manufactured homes. A theoretical model was adapted from M. J. Dear and S. M. Taylor’s (1982) model for community attitudes toward mental-health-care facilities. Using multiple regression techniques, this study tested the hypothesis that there is a significant relationship between acceptance of manufactured homes and 13 variables representing respondents’ perceptions of manufactured housing, respondents’ characteristics, county characteristics, and type of manufactured home. Only six variables (perceived manufactured-home occupant behavior, proportion of manufactured homes in the county, perceived manufactured-home condition, manufactured home type, respondents’ gender, and manufactured-home knowledge) emerged as significant predictors of manufactured home acceptance (R2 = .3541). Results suggested respondents’ socioeconomic and demographic characteristics were not important in predicting manufactured-home acceptance. Instead, acceptance mostly resulted from perceptions about occupants’ behavior. In general, double-section models were more accepted than single-section models

Environmental health · Perception · Population · Socioeconomic status · Socioeconomics · Sociology · Facilities and Workplace Management · Medicine · Psychology · Quality Function Deployment in Product Design · Sustainable Building Design and Assessment · Gerontology

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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