OSP Research Design & Data Analysis Lab

Research Design & Data Analysis Lab

Office of Sponsored Programs

About Us

The mission of the Office of Research, Scholarship, and Sponsored Programs (ORSSP) Research Design and Data Analysis Lab is to support research at The University of Texas at Tyler by providing students, faculty, and staff with expert guidance in developing research designs and methods and conducting data analyses that are based on quantitative, qualitative, and mixed method approaches.

Our Objectives

  • Provide guidance in the development of research designs and methods for the use with quantitative, qualitative, and mixed-methods approaches including one-on-one consulting, workshops, and tutorials online.
  • Develop a repository of online resources on research approaches, designs, methods, and data analysis for use by students, faculty, staff, and beyond.

Our Team

Resources

  • Visit our resources page to help you with academic writing, qualtrics, data science research, qualitative research, quantitative research, and machine learning.

Upcoming Webinars and Workshops

TOPIC
 
DESCRIPTION
 
DATE
 
TIME
 
SPEAKER
 
REGISTER

Expanding Your Qualitative Research Network: Social Media, Special Interest Groups, Mentorships, and Writing Communities 

 

As qualitative researchers, we ask how and why as we examine decision-making, behaviors, beliefs, and perceptions. We seek an in-depth understanding of social-phenomena, but we know that we certainly cannot do that alone. Qualitative research is a team sport! Join us for this interactive webinar to explore practical ways to expand your network to enhance your qualitative method and analysis toolkits, identify learning and mentorship opportunities, and increase your productivity.

 

11/7/24   1-2 pm   Dr. Jennifer Watters   REGISTER NOW

 

 

 

 

             

Qualitative Book Club: Meeting #4

 

The qualitative book club is a place to boost your knowledge of qualitative research. Each long semester, a different book is chosen. Fall 2024’s is Miles, M. B., Huberman, A. M., & Saldaña, J. (2020). Qualitative data analysis: A methods sourcebook (4th ed.). SAGE. Register and then be sent the zoom link to the meeting. 

If possible, come having read Chapters 8-10.

 

11/14/24   3-4 pm   Dr. Yonjoo Cho, Dr. Diane Smedley, and Dr. Jennifer Watters   REGISTER NOW

 

 

 

 

             

Navigating the Complexities of AI and ML: Key Challenges and Insights for Educators and Researchers

  Join us for an engaging webinar, "Navigating the Complexities of AI and ML: Key Challenges and Insights for Educators and Researchers," where we will explore the critical hurdles facing machine learning and AI today. From explainability and bias in models to the data implications in AI model development, this session will unpack the pressing issues that educators and researchers need to understand to use AI wisely. Designed specifically for faculty, the webinar will provide actionable insights and foster a deeper understanding of AI’s evolving landscape, empowering participants to better integrate AI principles into their teaching and research.

 

11/21/2024   10-11 am   Dr. Sagnik Dakshit   REGISTER NOW

 

 

 

 

             

Qualitative Book Club: Meeting #5

 

The qualitative book club is a place to boost your knowledge of qualitative research. Each long semester, a different book is chosen. Fall 2024’s is Miles, M. B., Huberman, A. M., & Saldaña, J. (2020). Qualitative data analysis: A methods sourcebook (4th ed.). SAGE. Register and then be sent the zoom link to the meeting. 

If possible, come having read Chapters 11-13

 

12/5/24   3-4 pm   Dr. Yonjoo Cho, Dr. Diane Smedley, and Dr. Jennifer Watters   REGISTER NOW

 

 

 

 

             

The Evolution of Large Language Models: Transforming Natural Language Processing Over Time

  Join us for the webinar "The Evolution of Large Language Models: Transforming Natural Language Processing Over Time," where we will explore the rapid advancements of LLMs and their profound influence on natural language processing (NLP). This session will trace the evolution of these models, examining how they have revolutionized the way we process and interpret language. We will delve into the technical background of language models over time, various applications, the alternative model choices over ChatGPT and more. Faculty members will gain insights into the current state of LLMs, their applications in research and education, and the challenges they present, such as ethical considerations and model limitations. This talk aims to equip educators and researchers with the technical background on LLMs and  knowledge to effectively integrate LLMs into their academic, research and service work.

 

12/11/2024   10-11 am   Dr. Sagnik Dakshit   REGISTER NOW


Watch recordings and resources from past webinars and workshops.