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Campus Recreation Multi-Institutional Research

Research Objective

Assess relationship between academic success and campus recreation participation controlling for differences across students across multiple institutions.

Rationale

The fall-to-fall retention rate for first-year students at colleges and universities in the United States increased only 3.6 percentage points between 2009 and 2017, according to the National Student Clearinghouse Research Center. Given projections of national reductions in the number of high school (HS) graduates that may yield lower tuition revenue, retention of students has become even more important for colleges and universities. 

This study examines the relationship between campus recreation facility use and first-year retention and cumulative GPA of full-time, first-time undergraduate students across multiple universities. Authors examine differences between facility users and non-users by pairing facility access data with student records. Statistical analysis includes logistic regression, controlling for student demographics, academic preparedness, academic goals, family characteristics, and various environmental factors.

Methods

Sample: Census data for a fall cohort of full-time, first-time undergraduate students (to analyze participants and non-participants) from the Office of Institutional Research (IR). 

Outcome variables 
  • 1st-year retention (Fall to Fall) calculated from institution’s student HEPC files 
  • GPA (cumulative, census end)
Predictor variable 
  • Recreation facility use – binary variable, based on facility visits within a fall academic semester (i.e., sum of use August through December), from facility card swipe data.
Data management:  Research adheres to Institutional Review Board (IRB) protocol # 1911790841 at West Virginia University (WVU), the IRB of record. Collaborating institutions are listed in the protocol as a site location and will complete an IRB authorization agreement (i.e., IAA-IRB of record), as well as a Data Use Agreement (DUA). Protocol includes deidentifying student data at each institution prior to multi-institutional data pairing, and reporting in summary (i.e., across institutions, deidentifying institutional names). All data transfers will include deidentified student data on secure servers.

Data analysis: Analysis uses multivariate regression controlling for variables identified in the retention literature, including:
  • gender
  • race/ethnicity ( person of color or white)
  • residency ( in state or out of state)
  • high school GPA
  • high school test scores (ACT and SAT)
  • major description 
  • first-generation student
  • Pell grant recipient
  • unmet need
  • living on campus
  • intercollegiate athletics

Participant Roles 

This study seeks to increase comparability and reliability of findings and support the campus recreation field. To do this, researchers seek to replicate analysis across multiple institutions. 

Collaborators 
  1. Access swipe card data from student recreation center(s) Note: institution may need to work with their recreation management software system
    • Custom report (in Excel) for Facility Usage (sum) by Membership Type (student membership users only) to include ID# as an optional selectable criterion from entry card reader(s)
    • For one (1) academic fall semester (i.e., August 1, 2018-December 31, 2018)
    • Each excel file should have the following columns: Name 1, Name 2, Student ID, Aug sum, Sept sum, Oct sum, Nov sum, Dec sum
  2. Data request to Institutional Research for non-users, control covariates in multivariate model (subject to availability)
  • Student ID, Gender, Race/Ethnicity (person of color or white), Residency, High school GPA, Sat combined scores, Act composite scores, Major description, First-generation student, Pell grant recipient, Unmet need, Living on campus, Intercollegiate athletics, Fall Cumulative GPA, Retention
  • Census data for full-time, first-time freshman for a fall academic semester
    • Note: exclude high school taking college courses and online students
  • Pair & deidentify data (i.e., remove student ID after pairing data sets)
Study coordinator (West Virginia University)
  1. Facilitation & guidance through detailed data requests, data dictionary
  2. Coordinate IRB & Data Use Agreement - Principal Investigator
  3. Data management for deidentified data repository & statistical analysis 
  4. Reports & publication of multi-institutional research in peer-reviewed journal

Benefits

To increase comparability and reliability of findings, this research focuses on student-level analysis across multiple institutions. Findings will quantify relevance of campus recreation in academic success. Implications include recognizing the importance of campus recreation in student persistence and GPA.

Contacts

Principal Investigator: Sera Janson Zegre, Research Coordinator, Sera.Zegre@mail.wvu.edu  
Supporting: Andrew Darling, Director, Andrew.Darling@mail.wvu.edu