Data+Analysis

DATE ANALYSIS
===My strategy will be to give a pretest and posttest in a non-blogging class and a pretest and posttest in a blogging class. The pretest will be given after class reads chapters 1-5 of the chapter book. A set of questions will be given for the class to answer and then they will be given a posttest. The same will be done for chapters 6-10 and 11-15. In the blogging classroom, the students will read chapters 1-5 of the same chapter book and be given a pretest. A set of questions will be put on the blog for students to discuss with one another. A posttest will given just like the non-blogging class received. The same will be done for chapters 6-10 and 11-15. The tool will be the 20 multiple choice questions on each pretest and posttest. I will analyze the data of all three pretests and posttests to determine if there is a statisically significant improvement of blogging over the non-blogging reading classroom. I will determine if the data is normal. As Johnson and Christensen(2008) discussed, if the data is normal, I will conduct a t-test with a significance level of .05 to test the null hypothesis. The null hypothesis is that the blogging and non-blogging classrooms on reading comprehension have no apparent difference. If the null hypothesis is rejected, then I will have found that blogging does have an impact on reading comprehension. A statistics analysis software program will be used to analyze the data.===