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- Read text sources several times and over several days. Disassemble and code data. Create a codebook. Define codes and illustrate them with quotes or examples from text sources Look for themes as you reassemble data. Interpret results and write up major findings. Describe the patterns and themes specifically related to your research questions (s)
ecampusontario.pressbooks.pub/actionresearchhandbook/chapter/data-analysis/
Nov 5, 2018 · I will introduce the main options for collecting data, which depend on your research focus, and provide examples of different data collection tools. I will then discuss ways of analysing the...
The goal of data analysis is to identify themes and patterns to provide robust evidence for any claims you are able to make from your findings. You will need to look at the data you have collected from several sources and relate these to your original, expected, outcomes.
Write your research question(s). Refer to your research question(s) often as you go through the process of qualitative data analysis: Compile qualitative data sources. Convert non-textual data to textual form (e.g. audio or video recordings) Read text sources several times and over several days. Disassemble and code data. Create a codebook.
What does the data you collected tell you that will help answer your research question? How does the data help you to understand if you see evidence of the outcomes that you predicted in your logic model?
To determine if your data aligns with your research question ask yourself the following questions: What are you trying to do? What is the main purpose of conducting your research? Data can include both qualitative data and information that can be quantified, tabulated, and, analyzed using statistics.
Jul 1, 2012 · Action research (AR) is a methodical process of self-inquiry accomplished by practitioners to unravel work-related problems.
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Oct 2, 2023 · In its classic form, action research involves fluid and overlapping cycles of investigation, action planning, piloting of new practices, and evaluation of outcomes incorporating at all stages the collection and analysis of data and the generation of knowledge (Given, 2008).
