Dear Colleagues/Members:
According to Kolb's learning theory, instructors' learning styles (including
experiences and material that they perceive as having been instrumental in
their understanding of statistics) are likely to shape their teaching of this
course. About a month ago, I surveyed members of this forum to ascertain which
course(s) during their training contributed mostly to their understanding and
use of statistics. There were 15 (fifteen) responses (some of them quite
detailed and informative). All courses reported were described as advanced or
graduate level, and based on thematic analysis, were labeled as: application based,
math, multivariate, probability, and research. Six (40%) respondents reported
strong negative feelings about their earlier and introductory statistics
courses at the undergraduate level, and also noted that application-based courses
were pivotal to their understanding of statistics. Most of the respondents
identified themselves as college/university instructors, and a few as
statistician/data analyst/research analyst. I want to thank you all for your participation
and support.
Sincerely,
Rossi Hassad
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