Data collection is quickly coming to an end. I hope to get one more data point this week, but we don't have school on Friday and we are doing scrimmage testing with all 3rd-5th grade students. I have met with the school psychologist who is helping me with the statistical analysis and worked out a time to meet. I am so excited to see what comes of all the hard work. One concern I have is that my students do not all have the same number of data points. Absences, school assemblies and other interruptions have interfered with different groups. I am thinking about using the average scores for each student to examine the relationship between fluency and comprehension. My research question is, "How does fluency impact comprehension". The average will still allow me to see if higher fluency scores resulted in higher comprehension scores or vice versa. At a glance, this doesn't seem to be true. There are a few screenshots of student spreadsheets below. One is of the most fluent reader and the other is of a random participant.
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| Gabby |
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| Kelly |
Here is the most up-to-date baseline data with the final participants
I think the fewer number of data points might affect the "power" of your analysis, but it should still be possible. You probably won't find much that is statistically significant given the small numbers, but you can still find differences that make you go hm... then you can look at your qual data to see if there is any overlap in your hmming. good luck!
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