As I'm reading the descriptions of the different kinds of data analysis, I am realizing that I don't have a good grasp of the different kinds of analyses. I haven't taken a math course since high school (embarrassing to admit) and never had a statistics class. I know that I will perform two different quantitative analyses and one qualitative analysis. It's possible that there will be more than than. From my understanding of having triangulated data, a study is stronger with both categories of data (mixed method).
The tool I found most understandable and helpful was socsciestatistics.com. I think I will first create two basic, Excel tables to tables. The first table will record each student's weekly minutes read and take an overall average. The second table will be each student's beginning RI score and ending RI score and calculate the increase from pretest to posttest. Each amount will be entered as an interval/ratio into a OneWay ANOVA calculator. I could also try a TwoWay ANOVA if I also enter attitude toward reading as another variable. (I think. ) Another possible calculator is the T Test. I also came up with the possibility of using Pearson's R Calculator or Pearson Correlation Coefficient calculator. I can't tell which of these four to use ( or all). I think that the choice of which test to run will become more clear to me after I finish collecting my data and begin organizing it, constructing tables, and piecing it all together. That's all I got, folks!
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Nancy JaminetArchives
December 2017
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