Regression analyses indicated that age of respondent and gender were the most consistent predictors of salary within many of the high-level student affairs positions at both public and private institutions. Degree was determined to be a significant predictor of salary, but in a negative direction. Higher levels of education frequently translated into decreased mean salaries for various senior-level positions at both institutional types. Institutional classification was a modest predictor at both institutional types, while ethnicity, NASPA location, and years in the position were very infrequently found to be proficient predictors of salary at either public or private institutions.
Journal of Student Affairs Research and Practice – de Gruyter
Published: Apr 1, 2003
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud