1 / 20

Analyzing Quantitative Data

Analyzing Quantitative Data. Dr. Patricia Brady, Acting Director Jason Swanson, Graduate Assistant Illinois New Teacher Collaborative at the University of Illinois at Urbana-Champaign. Overview. Introductions Overview of research process Activity #1: Reducing/summarizing data

macey-wise
Télécharger la présentation

Analyzing Quantitative Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Analyzing Quantitative Data Dr. Patricia Brady, Acting Director Jason Swanson, Graduate Assistant Illinois New Teacher Collaborative at the University of Illinois at Urbana-Champaign

  2. Overview • Introductions • Overview of research process • Activity #1: Reducing/summarizing data • Activity #2: summarizing, compiling, and interpreting data • Potential activity: designing a quantitative survey • Q&A on your own program

  3. Introductions • Name • District / organization • Role • Something interesting about you

  4. What is quantitative data? • Numbers; anything that can be counted • Benefits: easy to compare; can be persuasive • Drawbacks: can only explain so much

  5. Types of quantitative data-collection instruments • Surveys • Documents and artifacts • Classroom observations • Interviews

  6. Basic steps of an evaluation project

  7. Analyzing quantitative data • Reducing • Summarizing / compiling • Triangulating • Interpreting

  8. Activity #1: Reducing and summarizing data For the research question: • Which survey items would you focus on? • Would you compare responses on two or more items? • How might you summarize / organize the data? • Could you triangulate?

  9. Activity #2: Summarizing/compiling data • Research question: What factors are correlated with new teachers’ plans to remain in the classroom? • Data charts: • CP2: How long do you plan to be a classroom teacher? • SC1: School climate

  10. Chart 1

  11. Chart 2

  12. Chart 3

  13. Sample quantitative charts • Research question: What factors are correlated with new teachers’ plans to remain in the classroom? • Data charts: • CP2: How long do you plan to be a classroom teacher? • Induction program supports

  14. Chart 4

  15. Chart 5

  16. Quantitative data analysis activity #2 • Look over the charts • What correlations do you notice? • Are some charts more helpful than others? • How would you start answering the research question?

  17. Your own research • Find a new partner • Share some context about your program and your role • Discuss the issues in your program • Plan what impacts you will investigate • Formulate a research question and research strategies

  18. Case study: Hosta Grove • Read through the case study • Select one research question • Create a quantitative survey (or other data-collection instrument) • Decide when and how Hosta Grove should use the instrument

  19. Case study: Hosta Grove (continued) • Consider your data collection for Hosta Grove • What demographic data should you collect? • Would you use any pre/post data? • Would you use control groups? • How would you ensure confidentiality?

  20. Contact information Program Impact Evaluation Workbook Free download from intc.education.illinois.edu Dr. Patricia Brady, Acting Director 217.244.7376; pbrady@illinois.edu Jason Swanson, Graduate Assistant jaswansn@illinois.edu

More Related