ERIC Number: EJ1359143
Record Type: Journal
Publication Date: 2022
Pages: 6
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0744-8481
EISSN: EISSN-1940-3208
A Pilot Study Using Geospatial Analysis to Identify Hot-Spot of Populations Utilizing Services at University Based Counseling Centers
Patel, Rahul S.; Walker, Tanesha; Weber, Zachary T.; Kelley, Sarah D.; Hansen, Ryan
Journal of American College Health, v70 n5 p1280-1285 2022
Objective: Our pilot study tests whether university counseling centers (UCC) can apply the concept of cluster analysis, and geospatial analysis to identify clusters of "hot spots". Participants: Study participants were university students who received services from a large mid-western UCC between August 2015 and July 2016. The study was approved by the University's Institutional Review Board (IRB). Data collected include demographics, address, educational level and declared major. Methods: Data analysis, conducted using SYSTAT 13.1, IBM SPSS Statistics, ArcGIS Desktop and 10.2, ArcOnline, Microsoft excel to clean and analyze demographic data. Analysis included optimized cluster analysis with a p-value < 0.05 as statistically significant. Results: 927 participants, average age was 21.6. We identified "hotspots" using cluster analysis based on age, address, and country of origin. Conclusions: Our study shows that UCCs can apply cluster analysis, and geospatial analysis to identify clusters of "hot spots" to target risk populations.
Descriptors: Counseling Services, Higher Education, Multivariate Analysis, College Students, Geographic Information Systems, Student Characteristics, At Risk Students, Mental Health, School Health Services
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A