AAUP

These data were published in the American Association of University Professsor's journal,
Academe. There were compiled by Marcia Bellas drawing on data from the 1984 Carnegie
survey of faculty, the US National Science Foundation, the National Research Council, and the US Census
Bureau. The motivation for the work was to investigate salary "disparities among faculty whose education
and experience are comparable and whose duties are broadly similar," in particular those
due to sex. Regretably, the data do not include measures of the production of workers
in the various fields or the numbers of people employed in each field.

datasets

"Lessons in Statistical Thinking" D.T. Kaplan (2014)
<https://dtkaplan.github.io/Lessons-in-statistical-thinking/>
is a textbook for a first or second course in statistics that embraces
data wrangling, causal reasoning, modeling, statistical adjustment,
and simulation. 'LSTbook' supports the student-centered, tidy,
pipeline-oriented computing style featured in the book.

Daniel Kaplan

LSTbook

Data and Software for "Lessons in Statistical Thinking"

Randall Pruim

AAUP function

28 rows, each of which is a professional discipline:<ul>
<li><code>subject</code> name of the discipline</li>
<li><code>ac</code>: average salary (USD) for academics</li>
<li><code>nonacsal</code> median salary (USD) for non-academics</li>
<li><code>fem</code>: fraction of the workforce that is female</li>
<li><code>unemp</code>: unemployment rate in the discipline</li>
<li><code>nonac</code>: fraction of the workforce that is non-academic,</li>
<li><code>licensed</code>: Does work in the profession require a license (from George Cobb's paper)</li>
</ul>

AAUP: 1984 salaries in various professional fields

Description

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References