Misinformation Escape Room DRG (Quantitative Analysis)

  • Team (Alphabetical order): Gina Rome, Lei Lei, Sathvika Shakhamuri

  • Duration: about two months (3/29 – 6/1)
  • Data: 64 participants survey data (who conducted the survey after playing Escape room game)

Week 1 & 2: Project Introduction 

Week 3: Data Classification 

We divided questions in three categories: Independent variables (Demographics or Characteristics) and dependent variables.

Week 4: Hypothesis

After sorting the data, we conducted the initial data analysis to find the meaningful data.

After discussion, we wrote down all the possible hypotheses aligning with rationale, examples.

Week 5: Data Cleaning

Before conducting real data analysis, we had a session to discuss data cleaning: where to remove and remain the data.

Week 6 & Week 7: Data Visualization 

We started to visual the data by using R and Python software. First of all, we did hand-writing sketch and convert the sketch to digital version, We commonly used bar graphs and chi-square to measure validity.

Week 8:  Data Interpretation

Based on the bar graphs and chi-square, we concluded meaning of the data and reflection.

Week 9: Brainstorming new Puzzle game idea

This was the brainstorming activity with qualitative team. Based on the data, we think about what kind of misinformation puzzle games we can make in the future based on the data.

Week 10: Project End

Thank you for your contribution!

— Misinformation Escape room Research Team

https://docs.google.com/document/d/17UBN6ntjc1TMNQghSjfOIjK-m-W_0KVwKwcSMirEuo8/edit