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Week 7 and 8 reflection






This week's learning was kind of confusing for me, but as we talked more about it I understood it more. We spent these weeks talking about concepts in measurement and how that all relates to us as teachers when it comes to assessing our students. We focused on more of the statistical concepts. We looked at a score report and just the different elements that go into that then we got into the basic terms of population, sample, and norming. These are all terms that go with standardized assessments. The population is the whole group that would be tested for typical performance using an instrument so this would be all 7 year old taking a test. Then, a sample would be a portion of that population so the people that are included in the testing/ study. Norming is the typical performance of a group on the achievement of something. We also learned the difference between norm-referenced tests and criterion tests. Norm-referenced is just a bend compared to what the “norm” is of that age or group. For example, percentiles so like when you go to the doctors and they measure you they put you in a percentile and that justifies if you are above what you are supposed to be at or below. On the other criterion, tests are based on a standard or predetermined criteria that then testers are tested on based on the knowledge. For example, a classroom test that has a rubric and you are required to do a project on something. When working with assessments we need to make sure they are valid and reliable. Making sure they are valid just means making sure it is testing what it actually is supposed to. For example, making sure the questions are actually asking what you want and not being able to take different ways. Reliability is just making sure you can trust the results given. Mean, median, and the mode was also discussed. Mean is just the average so it’s all the numbers added from least to greatest and divided by how many scores there are. The Median is the middle number ranging from least to greatest. Mode is the most score. Normal curve and standard deviation also go along. Normal curve deals with heights, grades, IQ, etc. This shows the distribution of these. The standard deviation is the distance from the mean. So then we talked about standardization meaning how we can compare scores or progress. When talking about this we talked about z-score and t-score which compare scores on progress or particular dimension. These all are important to us because we want to be able to explain it to their parents if we would show them a report. 

We then got to practice in excel with all of this which made me feel a little more comfortable with it because I saw how I can organize the information and then how to interpret it quantitatively and qualitatively. Interpreting it quantitatively is just focusing on the number and what may need to be retaught but qualitatively is when you are thinking about why their score could be that way. Maybe it could be their home life or they are not paying attention or they are from a different culture and don’t understand what is being taught or said because their first language is not English. Excel allows me to calculate the mean, median, and mode as well as standard deviation and then make graphs for the data. We then were shown how we can just create a chart for one student if we just wanted that to show their parents. It was nice because we were allowed to see results in all the topics from the whole class so we could see where they were at with each thing, but then it was easier when we separated the data into topics so that we could see okay these many scores 10 on this topic. Overall this was very informational and is needed for teaching and collecting and analyzing the data.

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