Difference between revisions of "User:Nmorrow"

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== Week 4: (June 20th 2022 - June 24th 2022) ==
 
== Week 4: (June 20th 2022 - June 24th 2022) ==
 +
 +
*Begin cleaning the data
 +
*Continue learning about analysis methods
 +
*Continue writing annotated bibliography
 +
*Attend Research talk
 +
*Attend meeting with quantitative team members
 +
 +
== Week 5: (June 27th 2022 - July 1st 2022) ==
 +
 +
*Attend presentation about how to do presentation
 +
*Continue cleaning and preparing data
 +
*Continue annotated bibliography
 +
*Present current progress of project to the group
 +
*Begin exploring R
 +
*Continue literature review
  
 
*Continue annotated bibliography
 
*Continue annotated bibliography

Revision as of 19:53, 27 June 2022

Week 1: (May 31st 2022-June 3rd 2022)

  • Attended REU introduction meeting
  • Attended REU meeting on how to conduct research.
  • Attended meeting with mentor discussing initial steps
  • Reviewed annotated bibliography
  • Completed RCR training with CITI modules

Week 2: (June 6th 2022 - June 10th 2022)

  • Attended training on proper research methods
  • Located relevant work in the field
  • Attended meeting with mentor
  • Begin annotated bibliography
  • Generate Potential Research Questions

Week 3: (June 16th 2022 - June 17th 2022)

  • Continue annotated bibliography
  • Refine Research Questions
  • Attend meeting to introduce myself to the project team
  • Attend training about LaTex

Week 4: (June 20th 2022 - June 24th 2022)

  • Begin cleaning the data
  • Continue learning about analysis methods
  • Continue writing annotated bibliography
  • Attend Research talk
  • Attend meeting with quantitative team members

Week 5: (June 27th 2022 - July 1st 2022)

  • Attend presentation about how to do presentation
  • Continue cleaning and preparing data
  • Continue annotated bibliography
  • Present current progress of project to the group
  • Begin exploring R
  • Continue literature review
  • Continue annotated bibliography
  • Begin cleaning data
  • Learn about R
  • Investigate methods of analysis for the data
  • Attend research talk
  • Attend meeting with mentor and the quantitative team