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SAIR Proposal


SAIR Conference Program 2017
Monday, October 09, 2017
4:15 pm to 5:00 pm


Accreditation / Paper

Session 95
Understanding Accreditation Inflation: The ever changing landscape of Department of Education regulations, Regional, National, Specialized Standards and Criteria


As the role, functions, and purpose of the Federal laws, regulations and polices evolve the Regional, National and Specialized accreditation bodies face challenges to their roles, functions and purposes. This session will examine the current “inflation” occurring across the accreditation landscape and the practical lessons for institutions. The session will examine these from the perspective of Academic Affairs and from the perspective of a program level faculty member.

Room: West Fork II
Presenter(s):
R. Joel Farrell II Air University
Robin Gosdin Farrell Auburn University



Facilitator: Charlotte Ashley Southern University at Shreveport

Institutional Research / Work Share

Session 87
“If You Build It, They Will Be Funded”: Supporting the Request for a New Budget Model


Executive leadership at a large research institution desired a new budget model. Budget personnel reached out to Institutional Research to provide them with all the necessary details to support the new structure. This presentation will discuss how Institutional Research defined the problem, developed a flexible solution, and provided multiple delivery options.

Room: Bur Oak
Presenter(s):
Patricia Ramsey University of Central Florida
Amanda Miller University of Central Florida



Facilitator: Emily Dabney Delta State University

Institutional Research / Paper

Session 93
Investigating factors related to students’ one-year retention


The purpose of the present study was to investigate which factors could predict whether students were retained or not after one year. The study focused on first-time full-time freshmen who were enrolled at a southern university in Fall 2015. Logistic regression was used to analyze the data and see which factors were associated with whether they were still retained in Fall 2016. Results of the logistic regression model showed that cumulative GPA, pell award, and age were significant predictors of student retention after one year. Other variables such as high school GPA and race were not significant predictors.

Room: Elm Fork II
Presenter(s):
Jing Zhao Old Dominion University




Facilitator: Katherine Bearden Centenary College of Louisiana

Institutional Research / Panel

Session 94
IPEDS Update


The National Center for Education Statistics (NCES) will present a general update on 2017-18 approved changes to the Integrated Postsecondary Education Data System (IPEDS). In addition, IPEDS R&D activities will be presented.

Room: West Fork I
Presenter(s):
Tara Lawley National Center for Education Statistics




Facilitator: Catherine Jenks University of West Georgia

Institutional Research / Work Share

Session 89
The Uses and Misuses of Data


With the increasing use of data visualization software and dashboards, post-secondary data has become unprecedentedly easy to access, interpret, and share. This growing ubiquity and granularity offer new opportunities for data-driven decision-making and research, but pose significant risks for the misuse and misinterpretation of data. This work share session explores scenarios in which higher education data presented without context or interpretation leads to faulty conclusions. This session includes discussions of cognitive science, best practices for data presentations, and practical recommendations to prevent data misuse for a range of institutional research professionals.

Room: Red Oak
Presenter(s):
Jillian Morn Georgia Institute of Technology
Karen Webber University of Georgia



Facilitator: Greg Ohlenforst University of Louisiana at Lafayette

Institutional Research / Paper

Session 91
The Elasticity of Demand for Undergraduate Education


The purpose of this study is to examine the relationship between tuition cost and elements that denote undergraduate students’ choice for a university. Choice is expressed through a construct that combines the number of first-time freshman, size of the traditional undergraduate student body, and retention rate. To control for the effect that other attributes may have upon choice, universities have been clustered into four tiers based on a scale that considers enrollment profile (selectivity, Pell recipients, age of undergraduate students) and financial characteristics (endowment, instructional expenditures). The results suggest that sensitivity to tuition cost varies across different types of institutions.

Room: Live Oak V
Presenter(s):
Marcos Velazquez Barry University




Facilitator: Eric Atchison Mississippi Institutions of Higher Learning

Institutional Research / Paper

Session 96
Signal or Noise? Using Homegrown Data to Predict Attrition


National reports and benchmarking data suggests a multitude of reasons why students may be unlikely to retain at the first college or university they choose to attend. Yet, these standardized reports do not account for institution-specific challenges or efforts. In this presentation, we will discuss how to bring together cognitive, non-cognitive, academic performance measures, and other available institution-level student data to begin to determine how colleges and universities can best predict academic success and retention on their campus. The presentation will include a discussion of data cross-pressures from different areas on campus, how campuses can strategically respond to what retention and student success data illuminates, and how students can be included in framing administrative understanding of this data.

Room: Trinity Central
Presenter(s):
Will Miller Campus Labs




Facilitator: Misty Nabors Mississippi State University

Technology / Work Share

Session 88
Let Your Students Tell Your Story: Combining R and Tableau to Display Survey Results


Survey feedback at American Public University System (APUS) drives change while also providing evidence supporting the institution’s initiatives. Through the use of Tableau and R, APUS is well-positioned to extract insights from student responses to craft engaging stories. These stories highlight areas in which we are currently successful as well as areas that may need improvement. This presentation will provide participants with a demonstration of the methods used to analyze survey data in R and visualize the results in Tableau. Participants will engage in a conversation focused on alternative visualization methods for survey data.

Room: Post Oak
Presenter(s):
Geoffrey Koch American Public University System
Matthew Kline American Public University System



Facilitator: Jorge Martinez University of Houston

Technology /

Session 92
Dynamic Data Visualization Supports Dynamic Decision Making


The Office of Institutional Research at The University of Alabama uses SAS Visual Analytics in order to visually explore institutional data. This presentation will show our application of VA with a wide array of convenient, in-depth graphics including visualizations of student retention and graduation rates. We will discuss how these graphics can further facilitate “what if” and drill-down analysis as well as inferential studies.

Room: Elm Fork I
Presenter(s):
Eric Wang The University of Alabama
Jon Holcomb The University of Alabama



Facilitator: Heath Campbell The University of Alabama in Huntsville

Sessions: 9

SAIR 2017 Fort Worth