Table 2.

A list of the knowledge domains, evaluation methods, response variables, and significance tests used to analyze data.

Knowledge domain	Evaluation method	Response variable	Significance test
Tree physiology and response to pruning	Written exam	Score (0-100)	Beta regression
Good tree structure	Evaluation of suggested pruning actions^*	Score (0-100)	Beta regression
Good tree structure	Evaluation of suggested pruning actions	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Evaluation of removal cut	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Removal cut did not damage branch collar	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Removal cut did not damage branch bark ridge	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Removal cut did not leave a stub	Acceptable / Unacceptable	Fisher’s exact test
Making good pruning cuts	Evaluation of reduction cut	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Angle of reduction cut not too steep	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Reduction cut did not damage branch bark ridge	Acceptable/Unacceptable	Fisher’s exact test
Making good pruning cuts	Angle of reduction cut not too shallow (did not leave a stub)	Acceptable/Unacceptable	Fisher’s exact test

↵* Data was analyzed separately by city; for other evaluation methods, data was pooled from 3 cities.