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SAIR Pre/Post Conference Workshops

Sign up for pre-conference workshops along with your 2018 conference registration.

Workshop Schedule

Saturday

8:30 a.m. to 11:30 a.m.
1:00 p.m. to 4:00 p.m.

Sunday

8:30 a.m. to 11:30 a.m.
1:00 p.m. to 4:00 p.m.

Newcomers's Workshop 9:00 a.m. to 4:00 p.m.

Workshop Cost

$70 per 3 hour workshop
$140 per 6 hour workshop
$30 Newcomer's Workshop

The SAIR registration desk opens at 7:30 a.m. on Saturday and Sunday, participants must complete their conference check-in prior to their session.

For more information on SAIR Pre-Conference Workshops, please contact Rick Burnette, Member-at-Large for Professional Development.

Academic bench-marking innovations to promote the efficient use of instructional resources.

Saturday 8:30 am - 11:30 am

Abstract: This workshop will use longitudinal data from the Delaware Cost Study to examine case studies where teaching workload and instructional costs have reached the most efficient levels relative to similar programs found in the cost study. The focus will be on developing productivity metrics which can be presented using visualizations to summarize and highlight the relative performance of an academic department within a set of data-informed peer comparators or national norms. The benchmarking methods that will be explored provide a path to efficient resource deployment. The methods used to produce visualizations can be applied in a variety of bench-marking activities.

Presenter(s):
Tom Eleuterio University of Delaware



Hampton Roads VIII

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Building a Modern Data Governance Structure

Sunday, 1:00 pm - 4:00 pm

Abstract: Defining and deploying effective data governance is one of the products of our evolving data-defined world. Many schools have policies, but what are the effective organizational structures and policies that are needed to open up access while reducing risk of improper use? This interactive session will help you review your existing structures or allow you to begin planning your first.

Presenter(s):
Rick Burnette Florida State University



Hampton Roads VI

Data Analysis 101: Beginner's Guide to the Excel Universe

Saturday 8:30 am - 11:30 am

Abstract: Let’s face it, throughout the nation IR offices typically will have one “language” they can speak fluently: Excel. Within an average day there are multiple Excel files opened and closed as an analyst conducts research and analyses. Yet to a beginner, Excel’s many rows and columns of data can become overwhelming and seem like a very daunting task to master. If you are new to data analysis or need a refresher on good foundation tips, this is a workshop for you!

Presenter(s):
Sarah E. Hough Valdosta State University
Barrie D. Fitzgerald Valdosta State University


Hampton Roads VI

Data Analysis 201: Conquering the Dark Side of Excel

Saturday, 1:00 pm - 4:00 pm

Abstract: Becoming an Excel guru takes time and practice to hone in the skills needed to quickly manipulate data through formulas. Just like when learning a new language one begins to repeat the basic phrases. After a while of using the language, one can then begin to hold their own in conversation. This same method applies to Excel. At first, an analyst begins to use basic stand-alone formulas. Within a matter of months, the analyst begins intertwining formulas and finding tricks to keep reports up-to-date. If you are looking to advance your Excel skills, this workshop is for you!

Presenter(s):
Barrie D. Fitzgerald Valdosta State University
Sarah E. Hough Valdosta State University


Hampton Roads VI

Don’t Flounder Around on the Data: Ways to Predict Success and Measure Graduate Student Retention

Saturday 8:30 am - 11:30 am

Abstract: While much attention and research is focused on models for undergraduate enrollment, retention, and graduation, few models exist to capture those trends for graduate programs. This workshop provides a look at how the existing models at the undergraduate level can be leveraged and expanded to begin building models for graduate enrollment that provide the best fit for the specific institutional context. A simple regression model will be used to illustrate the impact of academic success measures. By the end, each participant will identify the data needed and the initial steps for developing a prediction model at their own institution.

Presenter(s):
Suzanne Simpson The University of Alabama at Huntsville
Jennifer Moore Mississippi University for Women
Ginny Cockerill The University of Alabama at Huntsville
Andrew Garner Mississippi University for Women
Hampton Roads VII

Highly Graphical Statistical Modeling for Predicting Student Retention

Sunday 8:30 am - 11:30 am

Abstract: In this hands-on workshop, attendees will utilize the latest SAS visual interfaces to build predictive models - allowing them to better understand the factors which influence retention and predict which students will return.

Presenter(s):
John Berry SAS
Wes Rehm SAS


Hampton Roads III

Inviting Students to the Table: Focus Groups as an Assessment Tool

Sunday, 1:00 pm - 4:00 pm

Abstract: Conversations with students in focus groups allow us to dig into the mechanisms behind the patterns we see in quantitative assessment data. They can also help us gather new evidence and answer questions with more detail and nuance than we might get from a survey. Through group discussion and planning packets, workshop participants will learn the benefits of this approach, how to create such a program, and the types of projects students can assist with—all without needing outside vendors or resources.

Presenter(s):
Will Miller Campus Labs



Hampton Roads III

Navigating the Challenges of Management and Leadership in our Professions

Saturday, 1:00 pm - 4:00 pm

Abstract: The roles of institutional research, institutional effectiveness and assessment are becoming more important at most of our campuses. That gives us a chance to take on greater leadership roles. This session is designed to help you refine the skills needed to be a good leader and manager while helping you navigate your way to progressively more important roles on campus. Two long-time higher education administrators will engage you in an interactive mapping of your professional opportunities.

Presenter(s):
Rick Burnette Florida State University
Mary Sapp University of Miami


Hampton Roads VII

Newcomer's Workshop

Sunday, 9:00 am - 4:00 pm

Abstract: The workshop will provide an introduction to institutional research, its principal components, and the practices of institutional researchers including the sourcing of data, communication and reporting of data, and the role of institutional research in supporting the assessment and accreditation. The workshop will also address how institutional research offices function and how to be an effective practitioner of institutional research.

Presenter(s):
Laura Mills Georgia Southern University
Abby Willcox University of North Florida


Chesapeake I-II

Predicting Student Enrollment Using Markov Chain Modeling in SAS

Sunday, 1:00 pm - 4:00 pm

Abstract: Accurate prediction of future student enrollment is vital for university planning efforts and decision making. This workshop will demonstrate different methods of predicting student enrollment, with a particular focus on Markov Chain modeling. Participants will have an opportunity to explore these methods hands on, using an example SAS program and sample SAS dataset that will be provided.

Presenter(s):
Samantha Bradley UNC Greensboro



Hampton Roads VII

Predictive Modeling Using SPSS, Decision tree, Logistic Regression and More

Sunday 8:30 am - 11:30 am

Abstract: This workshop is designed to provide the audiences a hands on experience on building predictive models. More important, audiences will have a chance to learn how to do data exploration such as using ROC curve to identify useful variables and use optimal binning to improve the model's performance. Lat but nor least, the audiences will learn how to compare different models on deciding which model is better. To sum up, this workshop allows the audiences work on predictive models from the beginning to the end.

Presenter(s):
Brody Du University of North Texas at Dallas
Sam Shi University of North Texas at Dallas


Hampton Roads VI

Predictives Bootcamp: Using Analytics to Best Assure Student Success

Sunday, 8:30 - 11:30

Abstract: Predictive analytics are being utilized more and more frequently in higher education as we aim to determine ways we can better determine which students are likely to be successful on our campus. With holistic data becoming more readily available and advanced statistical techniques becoming more higher-education friendly, it’s clear that innovative uses of data are not merely some passing fad. Yet, for campus stakeholders, figuring out ways to start making use of data and conducting predictive analyses can be a daunting task. In this bootcamp, we will work with live datasets together to determine how predictive analytics analyses can be undertaken and used on campus.

Presenter(s):
Will Miller Campus Labs



Hampton Roads III

Swimming in the SACSCOC Sea of Student Success

Saturday, 1:00 pm - 4:00 pm

Abstract: This workshop is an introduction to SACSCOC accreditation with an emphasis on institutional effectiveness and student success. A general overview of accreditation requirements will be followed by focused discussion on Section 7 (Institutional Planning and Effectiveness) and Section 8 (Student Achievement). Resources for providing context for data and benchmarking will be explored.

Presenter(s):
Wendy Kallina Kennesaw State University
Eric Atchison Mississippi Institutions of Higher Learning


Hampton Roads VIII

Tableau 101: The Basics of Tableau Desktop

Saturday 8:30 am - 11:30 am

Abstract: Designed as an introduction to using Tableau as a tool for data visualization in higher education, this workshop will focus on providing you with the fundamentals of getting started with Tableau. Hands-on exercises will be used to cover topics including importing of data, basic data manipulation, creation of basic calculations, design of charts and graphs, and the use of filters and parameters. Discussion of principles of data visualization will be included. Example exercises will make use of a sample data set containing data commonly used in relation to student headcounts.

Presenter(s):
G. Marc Turner Texas State University



Hampton Roads III

Tableau Desktop for Survey Data Visualization

Saturday, 1:00 pm - 4:00 pm

Abstract: This workshop is designed to provide attendees with the fundamental skills necessary to create interactive visualizations of survey data in Tableau. Through a series of hands-on exercises, we will explore the process of importing and transforming your survey data into a Tableau friendly format, creating basic and advanced visualizations, creating basic calculations, and building interactive dashboards. Particular attention will be payed to the complexity of dealing with NSSE data, however the principles covered will apply to other survey datasets. A basic understanding of Tableau is recommended but not required. Participants are encouraged to bring their own NSSE or other survey data for practice, however sample data sets will be provided.

Presenter(s):
G. Marc Turner Texas State University



Hampton Roads III

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Using and Understanding AAUP Faculty Compensation Survey Data and the Results Portal

Sunday, 1:00 pm - 4:00 pm

Abstract: The AAUP Faculty Compensation Survey collects salary and benefits data annually from over 1,000 institutions representing more than 350,000 full time faculty. This workshop introduces the faculty compensation survey and how to use the results portal and other new data products. Several models of how to use the data in compensation negotiations with faculty are presented using AAUP data and other salary & benefits surveys.

Presenter(s):
Joseph Roy American Association of University Professors



Hampton Roads VIII

Using Metrics to Drive Strategic Plan Implementation

Sunday 8:30 am - 11:30 am

Abstract: Strategic plan development is a complex process that involves much of the campus, but too often, the plan is not implemented in a meaningful way. This workshop addresses the role that IR , Institutional Effectiveness and associated evidence-based professionals can guide the process by employing measurable tasks and associated metrics. This case study will allow you to understand the various dimensions and challenges of strategic plan implementation, allowing you to position yourself as a strategic planner on your campus.

Presenter(s):
Galiya Tabulda Florida State University



Hampton Roads VII
SAIR 2018 Norfolk, VA