ERIC Number: ED646021
Record Type: Non-Journal
Publication Date: 2022
Pages: 165
Abstractor: As Provided
ISBN: 979-8-8375-1837-9
ISSN: N/A
EISSN: N/A
Rethinking Student Off-Campus Housing Design: Investigating Factors That Influence Off-Campus Housing Selection and Residential Satisfaction
Nanxing Wei
ProQuest LLC, Ed.D. Dissertation, Saint Joseph's University
This quantitative survey study investigated factors that influence off-campus student housing selection and residential satisfaction. Data from 733 full-time students living in the University City area of Philadelphia was used for analysis. Multiple imputation and reliability tests were conducted to ensure validity and reliability of the study. Exploratory factor analysis was conducted to determine what influenced students' decisions to select off-campus student housing. Independent sample t-tests were conducted to determine if there were significant differences between selection factors and demographic groups. A Pearson's product-moment correlation was performed to assess the relationship between residential satisfaction in off-campus student housing and selection factors. Multiple regression was conducted to predict residential satisfaction based on selection factors of off-campus student housing. Astin and Antonio's Input-Environment-Outcome (I-E-O) theory was the framework applied in this study. Data analysis results from this study revealed social orientation factors have slightly more impact on off-campus residential satisfaction than design unit factors. Students are more concerned with privacy, safety, parking, rent cost, lease term length, closet size, and access to green space when selecting off-campus housing. Flexible leases and affordable housing may attract some students who face financial barriers or have special needs. More broadly, findings also provide insight into the role and importance of privacy and its connection to design. These findings provide insights for institutions, illustrating the need for innovation and agility to meet students' housing needs. Private landlords and developers should also consider these factors to drive decisions about future student housing renovation, design, and development plans. This study implies the algorithm of decision-tree analysis can be applied in a meaningful way for the I-E-O framework and survey data analysis. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]
Descriptors: College Housing, Full Time Students, Student Attitudes, Correlation, Social Influences, Factor Analysis, College Students, Place of Residence
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Pennsylvania (Philadelphia)
Grant or Contract Numbers: N/A