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How 'Should' Tech Do in Recruiting Rank - Analysis
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<blockquote data-quote="BCJacket" data-source="post: 504812" data-attributes="member: 2332"><p>1. Thanks! Do you have a link to the other posts? Or a tip on how to search for them. Don't recall seeing them, might have been before my time on this board. Be very interested to see another approach.</p><p></p><p>2. If I follow what you're saying, I think you're talking about the two non-quantitative indicators- public/private and Conference? I didn't use a Pearson correlation for those, which I'm not sure if that was clear- Not sure if you're saying it's ok, because you thought I did do that. Or you're saying that I could have but you followed that I didn't. I analyzed each value separately and corrected for the average impact of each quality. It was a more qualitative approach, but it helped the model correlate more closely with the observations.</p><p></p><p>3. I'll look into a principal component analysis when I have a chance. Very interesting. I just used Pearson correlation because that's what I'm familiar with. </p><p></p><p>4. I used average stars as well. But the total rankings more closely matched my results, so that's what I used for the 'report' I posted on here. FWIW, I think insofar as the rankings are accurate, they're more accurate than average stars. The schools that are over-signing, grey shirting, and 'processing' derive a benefit from that. The additional total talent pool they're pulling their depth chart from (it's potentially like having 10-15 more scholarships) is captured in the rankings. </p><p></p><p>Also, pretty sure your single post had more intelligence than the sum total of some entire uGa boards. (And maybe all Miami boards in existence combined.)</p></blockquote><p></p>
[QUOTE="BCJacket, post: 504812, member: 2332"] 1. Thanks! Do you have a link to the other posts? Or a tip on how to search for them. Don't recall seeing them, might have been before my time on this board. Be very interested to see another approach. 2. If I follow what you're saying, I think you're talking about the two non-quantitative indicators- public/private and Conference? I didn't use a Pearson correlation for those, which I'm not sure if that was clear- Not sure if you're saying it's ok, because you thought I did do that. Or you're saying that I could have but you followed that I didn't. I analyzed each value separately and corrected for the average impact of each quality. It was a more qualitative approach, but it helped the model correlate more closely with the observations. 3. I'll look into a principal component analysis when I have a chance. Very interesting. I just used Pearson correlation because that's what I'm familiar with. 4. I used average stars as well. But the total rankings more closely matched my results, so that's what I used for the 'report' I posted on here. FWIW, I think insofar as the rankings are accurate, they're more accurate than average stars. The schools that are over-signing, grey shirting, and 'processing' derive a benefit from that. The additional total talent pool they're pulling their depth chart from (it's potentially like having 10-15 more scholarships) is captured in the rankings. Also, pretty sure your single post had more intelligence than the sum total of some entire uGa boards. (And maybe all Miami boards in existence combined.) [/QUOTE]
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How 'Should' Tech Do in Recruiting Rank - Analysis
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