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¶ … large elementary school regarding the average number of days per week each math teacher spends in a collaborative teaching community. The average ranges from 0 to 7 days per week. You have also obtained the pre-test and post-test scores in math administered in those same classrooms in the beginning and end of the semester, and you have calculated a score that shows learning during the semester by subtracting the pre-test score from the post-test score for each student.
You are interested in examining any potential relationship between the average number of days of teacher collaborative activities and student learning (i.e., post-test minus pre-test). How can you best handle the data so that you can perform group comparisons to examine the relationship between the two variables? Why is this technique the best for handling the data?
The scenario outlined in the case is suitable to attempt to identify the relationship between the average number of days that a math teacher spends in a collaborative teaching community and the effects...
This experiment could not be considered strictly experiemental for a couple of different reasons. One reason is that the groups were not divided into populations that were randomly assigned. Instead, the data was collected in a traditional classroom and there was no random assignment that dictated which group would be the control group and which would be the experimental group. However, the data collected still can be used quantitatively to attempt to identify a potential correlation between the groups that were divided through the traditional classroom assignment methods.
Thus, the study could be considered quasi-experimental at best since the study did not utilize any form of random selection. However, the study utizes a form of manipulation of the variables, despite the fact that these do meet the criteria of experimental conditions, since there is manipulation of the data, the study does qualify for more than the non-experimental design study. Furthermore, the study would be explanatory because…
Data mining, a process that involves the extraction of predictive information which is hidden from very large databases (Vijayarani & Nithya,2011;Nirkhi,2010) is a very powerful and yet new technology having a great potential in helping companies to focus on the most important data in their data warehouses. The use of data mining techniques allows for the prediction of trends as well as behaviors thereby allowing various businesses to make proactive
Student Performance in Business Class Given that all students in a given business class are exposed to the same professor and the same course materials, one might expect them to perform similarly. However, there is a broad range in how students perform in business classes. The purpose of this research study is to determine which variables impact student performance in business class. I have formulated several hypotheses about student performance in business
The authors do not state that public perceptions of severity should be discounted, but merely that these should not be over-emphasized, as was the case in previous literature. Another existing mode of measuring crime severity is that of economic models. Economic measures of costs may seem more objective, but given that they also involve speculative losses (such as lost productivity), they are not universally agreed upon. One widely-used model to
The State and school percent scoring tables also provide a useful marker of this, although I think that using these is slightly more complicated. As a result, I therefore actually find the State and school percent scoring tables to be the least helpful element in the result reporting. I also find that the State-Mean Developmental Scale Score is confusing as it is actually quite hard to understand what the figures
This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <
Student Engagement and Mathematical Justification The following paper begins with the description of student engagement. It moves further to identify the effect of student engagement on student performance. In addition to that, the paper also focuses on the importance of mathematical justification. The paper also highlights the importance of student engagement in mathematical justification. Furthermore, the paper comments on the options that the teachers have for improving the student engagement in their