Repository logo
Log In(current)
  1. Home
  2. Colleges & Schools
  3. Graduate School
  4. Doctoral Dissertations
  5. Perspectives of IR Professionals Regarding the Impact of Data Analytic Systems on Institutional Decision- Making.
Details

Perspectives of IR Professionals Regarding the Impact of Data Analytic Systems on Institutional Decision- Making.

Date Issued
August 1, 2021
Author(s)
Parlier, Thomas R IV  
Advisor(s)
Dr. Gary Skolits
Additional Advisor(s)
Jennifer Morrow
Louis Rocconi
Patrick Biddix
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/27817
Abstract

The capacity for data analytical decision-making is not always optimal in institutions of higher education (Hawkins & Bailey, 2020). Data analytic decision making for this study is defined as any decision utilized to improve the process or outcome for any function of higher educational administration (Nguyen et al., 2020) including but not limited to: state appropriated funding (e.g. Campbell, 2018) improving graduation rates (e.g Moscoso-Zea, Saa & Luján-Mora, 2019), teacher instruction (e.g. Cai & Zhu, 2015), or student success (e.g. Foster & Francis, 2020). Many IR professionals still face obstacles pertaining to their ability to both utilize data analytical software as well as share data analytical findings across their respective clientele units outside of institutional research to impact institutional decision-making (Lehman, 2017). The literature is lacking concerning how IR professionals experience and navigate these critical aspects of data analytical decision-making support in higher educational institutions.


The purpose of this study was to address the gap in the research by assessing the perspectives of IR professionals regarding their ability to utilize data analytic systems (e.g., analyzing, interpreting, sharing of data) to impact and strengthen institutional decision-making. The purpose of this study was also to understand how institutional culture (e.g., policies, operational processes, relevancy, conduciveness) influences the ability of IR professionals to utilize data analytic systems when sharing data findings or collaborating across their respective institutions to enhance institutional decision-making. Recommendations based on the study findings included stronger data governance for dashboards and data visualizations, expanding predictive analytics to enhance student success, and data literacy training with both utilizing data analytics software and interpreting data findings according to the context of individual institutions.

Subjects

Institutional Researc...

Data Analytics

Institutional Decisio...

Degree
Doctor of Philosophy
File(s)
Thumbnail Image
Name

Revised_Dissertation.docx

Size

259.47 KB

Format

Microsoft Word XML

Checksum (MD5)

b052466702d9a6d56f3ff0111942a9a0

Thumbnail Image
Name

auto_convert.pdf

Size

794.04 KB

Format

Adobe PDF

Checksum (MD5)

59e467328476894d7261a022025d3a61

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Contact
  • Libraries at University of Tennessee, Knoxville
Repository logo COAR Notify