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Quantitative Methods for Architecture Research: Lessons from the Social Sciences

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dc.contributor.authorGoodman, David
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2025-06-26T15:11:23Z
dc.date.available2025-06-26T15:11:23Z
dc.date.issued2020-04-14
dc.description.abstractArchitectural research can benefit from quantitative research methods commonly used in the social sciences. Through a demonstration study of the relationship of health, wellbeing, ethnic diversity, and investment in the built environment, this article illustrates several such methods (e.g., exploratory factor analysis, logistic regression, and multiple linear regression) and their possible application to the study of the built environment. The social science techniques outlined here may prove useful in undertaking rigorous scholarship and in fostering greater exchange of findings and theoretical positions among scholars in the field.
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationGoodman, D. (2020). Quantitative Methods for Architecture Research: Lessons from the Social Sciences. Technology| Architecture+ Design, 4(1), 44-53.
dc.identifier.doihttps://doi.org/10.1080/24751448.2020.1705712
dc.identifier.issn2475-143X
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3823
dc.issue.number1
dc.journal.titleTechnology|Architecture + Design
dc.language.isoen
dc.page.final53
dc.page.initial44
dc.page.total25
dc.publisherTaylor & Francis
dc.relation.departmentArchitecture & Design
dc.relation.entityIE Foundation
dc.relation.schoolIE School of Architecture & Design
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
dc.titleQuantitative Methods for Architecture Research: Lessons from the Social Sciences
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number4
dspace.entity.typePublication
relation.isAuthorOfPublicationbfe63883-36b0-4880-8373-3f33cfbd36e1
relation.isAuthorOfPublication.latestForDiscoverybfe63883-36b0-4880-8373-3f33cfbd36e1
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