What are the features of data analysis?
Synthesizing the data is probably the best way to describe this: combining context, analysis, and educated inferences to truly understand what is being analyzed, how it can be beneficial, and what the overall purpose of the data is.
What are examples and non-examples of data analysis?
Example: Making inferences based on the examples put forth from a control group.
Non example: changing the assignment based on poor results; judging that students' success rate is due on whole part to minor changes / anomalies in the data; etc.
What is your defintion of data analysis in six words or less?
What is the story of data?
What is your plan for analyzing your raw data?
Analyze and interpret the results of multiple Pre-AP essays (conducted in the AP style) when the students have done 2 without any peer review and 2 with peer review as an aid.
What challenges do you anticipate when analyzing your data?
Just squeezing it in in a meaningful way - 4 essays in 6 weeks is a bit of a stretch to get in and back to them at the end of the school year (due in part to my paternity leave), but I'll make the attempt.
Just squeezing it in in a meaningful way - 4 essays in 6 weeks is a bit of a stretch to get in and back to them at the end of the school year (due in part to my paternity leave), but I'll make the attempt.
What have you learned about data analysis from small and large group conversations?
That it doesn't tell the "whole story." It's all about context, detail, and the varying factors that surround the pure numbers in the data - thus, the teacher is of immense importance in creating meaning from said data.
What are some of the questions that you have about data analysis?
Quantifying observations - pulling patterns through behavior. Legit?
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