Brilliant summary and also thanks for the r=% square rule! As also a grassroots coach, I wish this weak correlation would better inform youth sports culture.
Thank you. Love the fact that you are a grassroots coach - certainly a group that I want to reach. As for the correlation. Always ranges from 0 to 1.0 -- 0.0.30, low; 0.30-0.60, moderate; 0.60-0.80, moderately strong; 0.80-1.0 strong. There are other rubrics as well - e.g. psychology/social sciences will slide downwards with interpretting the magnitude. As I described, when you square r this is called the coefficient of determination and explains the % of total variance in the dependent or outcome variable. Again, think of trying to explain 100% of something.... so if examining hot dog consumption and GPA and correlation is 0.95 then r-squared = 0.90 or 90% - and you can conclude that hot dog consumption explain 90% of the variance in GPA, leaving 10% unexplained by other factors (IQ, studying, etc.). Too often this is how people will use the correlation or r. That is if r =0.90 they will say 90%. This is incorrect.
ha! Good ole SPSS. From a practical standpoint I use Google Sheets more often now. Easy to calculate simple statistics (+ install XL Miner Analysis extension) and create athlete dashboards.
Brilliant summary and also thanks for the r=% square rule! As also a grassroots coach, I wish this weak correlation would better inform youth sports culture.
Thank you. Love the fact that you are a grassroots coach - certainly a group that I want to reach. As for the correlation. Always ranges from 0 to 1.0 -- 0.0.30, low; 0.30-0.60, moderate; 0.60-0.80, moderately strong; 0.80-1.0 strong. There are other rubrics as well - e.g. psychology/social sciences will slide downwards with interpretting the magnitude. As I described, when you square r this is called the coefficient of determination and explains the % of total variance in the dependent or outcome variable. Again, think of trying to explain 100% of something.... so if examining hot dog consumption and GPA and correlation is 0.95 then r-squared = 0.90 or 90% - and you can conclude that hot dog consumption explain 90% of the variance in GPA, leaving 10% unexplained by other factors (IQ, studying, etc.). Too often this is how people will use the correlation or r. That is if r =0.90 they will say 90%. This is incorrect.
Thanks again for the follow.
Thanks Joe. Still an SPSS rookie!
ha! Good ole SPSS. From a practical standpoint I use Google Sheets more often now. Easy to calculate simple statistics (+ install XL Miner Analysis extension) and create athlete dashboards.