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SAIR Proposal

SAIR Conference Program 2017
Sunday, October 08, 2017
8:30 am to 11:30 am

Pre Conference Workshop / Workshop

Session 13
Workshop 13 - Transforming Data into Decision Support using Research Design, Methods, & Statistics

The ideal institutional researcher is a master of all disciplines: being skilled in software, databases, mathematics, project management, and business operations. In addition, IR professionals must be subject matter experts in many areas including admissions, enrollment, graduation, finance, HR, and faculty. This workshop provides a review of the hard and soft skills that are necessary for turning data into meaningful, actionable information. Topics covered include research questions, experimental designs, statistics, visualizing data, and decision support. Participants can expect a mixture of lecture, discussion, and group work providing opportunities for networking, idea exchange, and new insights into modern IR.

Room: Bur Oak
Justin C. Shepherd Emory University - School of Law


Pre Conference Workshop / Workshop

Session 14
Workshop 14 - The “How” and “Who” of Survey Design: Question Development and Sampling

This workshop examines the “HOW” and the “WHO” of survey research. In the “HOW” segment, we will focus on questionnaire development for optimal impact and response. and detail general best practices. In the “WHO” segment, we will focus on the science and the art of sampling within the context of institutional research and assessment. We will examine best practices for sampling methodologies and their appropriate uses. The presentation will serve as a resource for attendees to enhance their understanding of survey methodology for use in institutional research as well as assessment surveys.

Room: Post Oak
Shama Akhtar Bowie State University
Somer M. Givens Troy University


Pre Conference Workshop / Workshop

Session 15
Workshop 15 - Leading Change: Designing and Implementing a Meaningful Assessment Model

The intent of the assessment process is to enhance programs and services, and also meet increased calls for credibility and accountability. In order to do, institutions have to develop the required infrastructure to instigate real change for establishing a culture of assessment that addresses strategic goals and meets accreditation standards. This workshop provides techniques and tools that can be used to foster a culture of continuous improvement. These include creating efficient processes, building capacity to engage in assessment, and enhancing use of results. Participants will work through hands-on exercises to create their own guide for applying at their campus.

Room: Elm Fork I
Divya Bhati College of Charleston
Karin W. Roof College of Charleston
Cara L. Dombroski College of Charleston
Joshua E. Bloodworth College of Charleston


Pre Conference Workshop / Workshop

Session 16
Workshop 16 - The Benefit of Data Analytics: Introduction of using Business Intelligence in Institutional Research

Using statistics analysis to identify the hidden meanings and patterns becomes the tendency nowadays. So, in the workshop I would like to share my experience of how and when to use business intelligence in institutional research. To better understand the whole analytic process, I will spend time covering the full data lifecycle from beginning to end: from data manipulating, data cleaning, experiment designing, algorithm selecting, scoring, to result visualizing. The purpose of the workshop is not to train audiences so that they can build advanced statistics model, but to show how to think like analysts. 

Room: Elm Fork II
Fangyu Du University of North Texas at Dallas


Pre Conference Workshop / Workshop

Session 18
Workshop 18 - Data Visualization for Institutional Research

This hands-on workshop using SAS® Visual Analytics will show you how to explore relevant data quickly and easily. You can look at large amounts of data, uncover hidden opportunities, identify key relationships, and make more precise decisions faster than ever before. You will learn how self-service, ad hoc visual data discovery and exploration put lightning-fast insights within everyone’s reach. Whether you’re an institutional researcher with limited technical skills, a statistician, or a data scientist, powerful analytics are at your fingertips with absolutely no coding required. Sophisticated analytics, including decision trees, on-the-fly forecasting, and scenario analysis, are seamlessly integrated with ease-of-use features such as auto charting, “what does it mean” pop-ups, and drag and-drop capabilities. Anyone can understand and benefit from analyzing complex data with SAS® Visual Analytics and in this workshop you will learn how easy that is.

Room: West Fork II
John Berry SAS


Sessions: 5

SAIR 2017 Fort Worth