What are the features of data analysis?
Reviewing the data while it is being collected and make sense about what I am observing. Researcher should remember that appropriate analysis will depend on the question being asked and different based on type of data collection tool. Search for patterns or trends in the data. Need to figure out what it means. Coding to break down data into manageable segments. General for action research. Two stages: description - review the data and and look at what you see; sense - put pieces together, put data together in groups, organizing data. Data interpretation and action research focus on implications and meanings from the analysis. Ask how the patterns of the data inform my thinking. Claims must be supported by data.
What are examples and non-examples of data analysis?
Examples: exit tickets, assignments & activities, warm-ups, wrap-ups, surveys, journals
Non-examples: not looking or using data collected, manipulating the data, only looking at certain student data, having an assumption and making the data support the assumption
What is your definition of data analysis in six words or less?
Examine, interpret, apply information supporting students
What is your plan for analyzing your raw data?
Coding data to find patterns; breaking it into chunks of information; make sense of the data
What challenges do you anticipate when analyzing your data?
Understand data; create patterns and make sense of the data; quantifying the data; I tend to jump to conclusions too quickly
What have you learned about data analysis from small and large group conversations?
How to take information and quantify it. Look for examples and non-examples in data
What are some of the questions that you have about data analysis?
How much data do I need to draw conclusions and support my claims?
How do I have a benchmark to compare my claims and data to?
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