Reaching Others University at Buffalo - The State University of New York
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Conference Presentations

Institutional Analysis staff sharing their experience at professional conferences

 

Managing Unstructured Data  

           April 14, 2015 - Joe Mantione  

 

 

Academic Analytics Faculty Detail

            April 9, 2014 - Craig Abbey

 

AIR 2014 - May 27-30, 2014

 

Identifying Research Strengths through Bibliometric Analysis

(Session Id: 1578)

Bibliometric analysis is an important part of research evaluation. This session provides an overview of how bibliometric analysis was used to support a university’s hiring and investment plans. Using the Global Research Benchmarking System and Scopus data, techniques to identify strength areas and collaboration patterns using Tableau, Circos, and NodeXL are discussed and demonstrated. The resulting graphics take a large volume of data and create visualizations that are easy to understand and highlight relative strengths and collaborations patterns.

            May 28, 2014 - Rachel Link, Craig Abbey

 

Who Wants to Finish in 4? A Cluster Analysis of Retention Program Reach

(Session Id: 1691)

Finish in 4, a new retention initiative of the University at Buffalo, provides an institutional commitment of resources and guidance to help undergraduates complete the bachelor’s degree in four years. What is the appropriate reach of such a program? This presentation describes a cluster analytic approach to identifying students who are more likely to pledge the Finish in 4 program and to evaluating which of these students are more likely to succeed when armed with the program’s resources. Adding this approach to descriptive program assessments can provide rich context for discussions of program success and planned growth.

        May 28, 2014 - Lauren Young

HEDW Presentation - Herding Effective-dated Cats: Challenges for a Student-Term Data Model in a Decentralized Business Environment

      April 21, 2015 - Jonathan Havey

The University at Buffalo (UB) implemented PeopleSoft Campus Solutions in 2011. As part of this effort, UB also implemented iStrategy's HigherEd Analytics (now BlackBoard Analytics) in a Data Access and Reporting initiative that went live at the same time. The first phase of the Data Access and Reporting initiative was intended to provide data to reporting super users and to create a suite of basic, web-accessible operational reports for use by departmental administrators. To this end, the pre-existing data-mart (branded "Info Source") was initially populated using BlackBoard Analytics data models, and a pre-existing OBIEE instance containing human resource and financial reports was leveraged to deliver operational reports in the student realm. The rollout, following an extremely aggressive schedule for implementing Campus Solutions (which we branded as “HUB”), was successful in the sense that there was no interruption of service in providing data to the university community. Departmental administrators were able to run basic reports on majors, classes, enrollment, student groups, and service indicators (i.e., holds), and reporting super users were able to start rebuilding their local reporting systems. As time went on, however, certain gaps emerged that were difficult to reconcile with the data in the HUB. All of these challenges originated in the attempt to generate a student-term data model using effective-dated data that lacked term dimensionality. This presentation will discuss how the University at Buffalo responded to these gaps through the following: Customizing views, constructing supplemental views to fill the gaps, reviewing business process in assigning effective dates, and updating the OBIEE .rpd file to capture some of the lost data.

 

Conference Schedule

 

 

 

NEAIR 2014 - Nov 8 -11 2014

 

Is That the Right Number? Data Integrity and Validation in IR

Institutional researchers are often expected to produce definitive summary data to be posted in the public domain for use by external policymakers, accreditors, peers, and other outside constituents. It is imperative that these summaries be correct and consistent, but institutional data may be fraught with pitfalls. Given that raw data are rarely perfectly clean and consistently structured, how can you be assured that a summary number is the right one? We will discuss examples of problems that may arise from missing data, incorrect data entry, definitional issues, multiple records or constituencies, and policy changes and offer diagnostic and analytic solutions.

    November 10, 2014 - Rachel Link, Lauren Young

 

Do I Get a Do-Over? Assessing Course Repeat Policy

Recently, the University at Buffalo began to review its policies on course resignations in the hops of reducing undergraduate time to degree. A key component of this review is the assessment of a recent policy initiative that limited repeats for popular introductory and general education courses. We expect that patterns of enrollment and student success following the prior policy change will help to support or refute the anticipated benefits of disincentivizing course resignation. This presentation will review bivariate and multivariate analyses that highlight the impact of course resignation under old and new course repeat policies.

 

    November 10, 2014 - Lauren Young

 

 

NEAIR 2013 - Nov 9 -12 2013

How Understanding Alumni and Advancement Terminology Aids Institutional Research Reporting

Institutional research often leverages alumni and advancement data for college rankings and other reporting requests. Understanding common terminology used in alumni and advancement offices can make the task easier for the researcher and the end result more useful for the advancement and alumni offices, and a better understanding of this terminology can lead to better reporting and more positive outcomes in college ranking. Additionally, learning common giving terms and statistics helps with financial reporting for the institution. Finally, many institutions do not employ a development analyst who can perform statistical analysis on fundraising data in order to segment mailings or perform ROI analysis, and this task may fall to institutional research. This poster will provide these IR professionals with a strong understanding of the terminology, common beliefs, and accepted methodology to make analysis and reporting easier.

    November 11, 2013 - Rachel Link  

 

 

Mapping the Pipeline: Changing Demographics and Enrollment Impacts - Poster session

This presentation shows how a large public institution has used geographic analysis to better visualize its enrollment pipeline from high school graduates and college inquiries thru application/admission/enrollment and retention. Several dimensions of the potential applicant pool is graphically portrayed in layers as we uncover more understanding about where our applicants come from, who applies, who gets admitted, and who ultimately enrolls.

    November 11, 2013 -    Mike Randall

    Conference Schedule

 

 

NEAIR 2012 - Nov 3 -6 2012

 

Mapping the Pipeline: Changing Demographics and Enrollment Impacts

This presentation shows how a large public institution has used geographic analysis to better visualize its enrollment pipeline from high school graduates and college inquiries thru application/admission/enrollment and retention. Several dimensions of the potential applicant pool is graphically portrayed in layers as we uncover more understanding about where our applicants come from, who applies, who gets admitted, and who ultimately enrolls.

    November 5, 2012 -    Mike Randall, Craig Abbey

    Conference Schedule