Admissions Decision Making in Master of Public Administration Programs
Affirmative Inaction
Bibliographic Data
| ID | 11673907 |
|---|---|
| Authors | James S Bowman (0000-0002-8811-6280, Florida State University, corresponding author), Karen R Mangelsdorf (Florida State University), Karen Mangelsdorf (Florida State University) |
| Year | 1989 |
| Volume | 19 |
| Issue | 2 |
| Pages | 149-162 |
| Publication date | 1989-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The American Review of Public Administration (JOURNAL) |
| Journal identifiers | ISSN: 0275-0740 • E-ISSN: 1552-3357 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/027507408901900204 |
| OpenAlex | W2065248542 |
| Language | EN |
| Citations received | 1 |
| References cited | 13 |
Published admissions standards typically include factors such as test scores, grades, and letters of recommendation. Yet there is little direct evidence in the literature on how these criteria as well as race and sex are actually utilized in student selection. That is, what are the operative rules in admissions decisions? This study reports the results of a survey of the National Association of Schools of Public Affairs and Administration principal representatives. Each respondent was presented an applicant profile booklet designed to estimate the impact of grades, GRE scores, references, race, and gender on admission decisions. In the findings we discuss how these variables are considered in the selection process. The analysis concludes with a commentary on the implications of the data for Master of Public Administration programs, and their admissions practices
Administration (probate law · Political science · Principal (computer security · Public relations · Race (biology · Respondent · Selection (genetic algorithm · Sociology · Test (biology · Computer Science · Higher Education Research Studies · Law · Psychology · Public Administration · School Choice and Performance
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.14 |
| Citation span | 2019 - 2019 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |