Mentoring Up De-Identified Dataset

We provide here the de-identified data used to evaluate the implementations of a Mentoring Up training. This dataset is currently being used in the publishing of a manuscript, "Mentoring Up for Early Career Investigators: Empowering Mentees to Proactively Engage in their Mentoring Relationships"
Variables include,
Values for average self-ratings of Mentoring Competencies using the MCA scale (Likert-type scale from 1 - 7), retrospectively thinking to BEFORE the training and AFTER the training. Subscales include:

Effective Communication
Aligning Expectations
Assessing Understanding
Fostering Independence
Addressing Diversity
Promoting Professional Development
Values also include responses to the following quantitative questions:

Overall, how effective was the facilitator in guiding discussion during the workshop? (1 - Very Ineffective, 2 - Ineffective, 3 - Neither Effective nor Ineffective, 4 - Effective, 5 - Very Effective)
Was attending this workshop a valuable use of your time? (1 - Yes, 2 - No)
How likely are you to recommend this workshop to other colleagues? (1 - Very Unlikely, 2 - Unlikely, 3 - Undecided, 4 - Likely, 5 - Very Likely)
Have you made, or do you plan to make any changes in your own practices as a mentee or in your relationship with your mentor(s) as a result of this training? (1 - Yes, 2 - No)
And the following short answer responses:

Please describe any changes you plan to make as a result of this workshop
What aspects of this workshop did you find most useful?
What could be done to improve this workshop
What are the strengths and weaknesses of this training? Are there things you would like to see changed or added? If so, what?