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Balanced Evaluation: Combine quantitative and qualitative data to gain a comprehensive understanding of training effectiveness.
After reading this sentence I wish I would know which data (in this case, mostly survey questions I guess?) it is to gain an understanding of training effectiveness.
As far as I see, this is quite a big field with some counterintuitive results.
One example: some institutions use SETs ('Student Evaluation of Teachers') with the idea that high SETs correlate to better teaching. However, according to this meta-analysis [Uttl, Bob, Carmela A. White, and Daniela Wong Gonzalez. "Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related." Studies in Educational Evaluation 54 (2017): 22-42.], these are unrelated. Note that this is just the best paper I found on this subject and I am happy to be corrected.
So, I hope this simple sentence is elaborated on a bit more, as it would make its wisdom better applicable. Would be great!
Thanks and cheers, Richel
The text was updated successfully, but these errors were encountered:
Dear SPLASH,
Great to see this initiative!
I was reading the 'Evaluate' step and found this:
After reading this sentence I wish I would know which data (in this case, mostly survey questions I guess?) it is to gain an understanding of training effectiveness.
As far as I see, this is quite a big field with some counterintuitive results.
One example: some institutions use SETs ('Student Evaluation of Teachers') with the idea that high SETs correlate to better teaching. However, according to this meta-analysis [Uttl, Bob, Carmela A. White, and Daniela Wong Gonzalez. "Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings and student learning are not related." Studies in Educational Evaluation 54 (2017): 22-42.], these are unrelated. Note that this is just the best paper I found on this subject and I am happy to be corrected.
So, I hope this simple sentence is elaborated on a bit more, as it would make its wisdom better applicable. Would be great!
Thanks and cheers, Richel
The text was updated successfully, but these errors were encountered: