The recording of the 27 JanuaryREVISAR webinar introducing week 4 is now available: CLICK HERE The PowerPoint slides are also available, here PEDIR PERMISO
Paula and Richard began by talking about where we are overall, encouraging you not to worry if you are not keeping up with the exact week-by-week pace.
In the webinar Kenan and Asli discussed basic procedures for analyzing evidence. You can learn about several ways to analyze data and decide on which analysis procedure(s) will be best for your own study. The main follow-up activity is Activity 3 below.
In the webinar Kenan and Asli discussed basic procedures for analyzing evidence. You can learn about several ways to analyze data and decide on which analysis procedure(s) will be best for your own study. The main follow-up activity is Activity 3 below.
Activities
Activity 1
In some research which investigated what teachers thought about being learner centered, two participating teachers were asked "What does being learner-centered mean to you?". Read the short transcript (CLICK HERE) and analyse the data by going though the suggested steps for data analysis below. What are the aspects of being a learner-centered teacher according to this evidence, or 'data'?
Some suggested steps for data analysis:
Now share your analysis in https://groups.io/g/Classroom-based-research under "Identifying themes"
In some research which investigated what teachers thought about being learner centered, two participating teachers were asked "What does being learner-centered mean to you?". Read the short transcript (CLICK HERE) and analyse the data by going though the suggested steps for data analysis below. What are the aspects of being a learner-centered teacher according to this evidence, or 'data'?
Some suggested steps for data analysis:
- Underline the words/phrases and word groups that are repeated and/or have similar meanings
- Label and name the categories
- Identify the emerging patterns in the data
- Ask a colleague to follow the same procedure
- Compare and contrast your and your colleague's analysis
- List the common themes that emerge
Now share your analysis in https://groups.io/g/Classroom-based-research under "Identifying themes"
Activity 2
CLICK HERE to access the online book Teacher Researchers in Action. Find a study which interests you and read the data analysis part. How would you answer the questions below?
1. Which study did you choose?
2. How is the data analysed and presented (e.g. charts, figures, tables,...etc)? What calculations have been used (means, percentages, ranking, etc.)?
3. How could the data analysis and data presentation of the study you focused on guide your own classroom-based research
Now compare your answers with those provided by some participants in last year's EVO (CLICK HERE)
1. Which study did you choose?
2. How is the data analysed and presented (e.g. charts, figures, tables,...etc)? What calculations have been used (means, percentages, ranking, etc.)?
3. How could the data analysis and data presentation of the study you focused on guide your own classroom-based research
Now compare your answers with those provided by some participants in last year's EVO (CLICK HERE)
(Main activity this week) Activity 3: Your own data analysis
1.. How will you analyze / How are you analyzing the data you collected / might collect in the future?
2.. As you analyze your data, share your doubts and questions in our Google + Community.
Share your approach to analysis, and your doubts/questions in our https://groups.io/g/Classroom-based-research under "How will you analyze?"
1.. How will you analyze / How are you analyzing the data you collected / might collect in the future?
2.. As you analyze your data, share your doubts and questions in our Google + Community.
Share your approach to analysis, and your doubts/questions in our https://groups.io/g/Classroom-based-research under "How will you analyze?"
Additional resources
The following resource may help you with qualitative data analysis:
- IATEFL Research SIG video by David Nunan
Hoped-for achievements
By the end of this week you will have:
- developed an understanding of how you can sort out the data you have collected as well as how you can categorize and classify them
- posted important information about how you might analyze your data
Next Live Session,REVISAR ESTO Friday 3rd February 15:00 GMT (time where you are here). Location: Adobe Connect Room (click on this link and enter as a 'Guest', writing your full name)