ForgetToRemember -> RE: American Schools Still Racist? (3/30/2014 12:37:43 AM)
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Well, what I see here is a lot of disagreement over data - and that's because this data is just the start of the discussion. From a scientific point of view, this is what is going on... The article is taking an Observation and going directly to Conclusion. This is a classic mistake made by those who are not scientifically minded. The correct process of the Scientific Method is: Observation ---> Hypothesis ---> Test Hypothesis (Experiments, more or deeper data collection) ---> Examine Results ---> Accept or Reject or Redefine Hypothesis. Rinse and Repeat as much as possible...CONCLUSION. I will try to be useful and suggest the proper way to use this data: =========================================================================================================================================================================================== First off, let me state that this is actually a GREAT resource (Civil Rights Data Collection). I used that before this message, and will comment on that later. So for my methodology... 1.) Observation: Already done! We have the data already showing that more minorities are disciplined in a statistically significant amount. 2.) Hypothesis: Minorities are disciplined more often due to INSTITUTIONALIZED RACISM (or insert your specific idea here). 3.) Test Hypothesis (Experiment/ Deeper data collection): For the hypothesis of institutionalized racism, we would do a broad collection of deeper data (samples from all states, from preschool, k-6, high school). That would mean that we have a sample that is representative of the whole population of the US and thus could do statistical analysis of it. The main point here is to define the new tests that need to be done (the best measure of actual racist acts - perhaps controlling for socioeconomic status of the student?). 4.) Analyze results: Look for any outliers, any problems with data collection, trends, quirks, notes etc. Depending on the results, we may want to accept our hypothesis, reject it or redefine it. 5.) Do more experiments if warranted (a result other than an obvious 'NO'). In this case, we may want to follow up with interviews of the people involved with the discipline (both for minorities and whites). 6.) Rinse and repeat as much as possible. 7.) Draw an evidence based conclusion: Note any interesting facts found during the process (or what you would like to change, what new observations you had that may warrant new hypotheses and testing). =========================================================================================================================================================================================== So as I said before, I went to the ed.gov website and checked the data for my state. I live in Maine, and the population is about 94% white. However, the results for expulsion showed absolutely no bias based on color of skin (for preschoolers, which is what the original article was about). I haven't looked through every single category, but for non-disabled discipline...there was no disproportionate expulsion for students of color compared to whites. I can see some examples of 'low number percentages' occurring though. Such as a school that only has 20 black students, but 600 white students (something you might find in Maine). If the school suspends 2 of those black students and 20 white students, the statistic you can derive from that is, "Schools are still racist - as black students are suspended 3 times more than whites"...however we can see that getting 2 bad students is not unreasonable. The variation could easily be due to other factors besides race. Anyways, I hope that we recognize the difference between an Observation (or data) and a Conclusion. Observations and data are great - for furthering the scientific method. They are not supposed to be used to draw conclusions on.
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