Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Multiple Regression Analysis | 3 |
Prediction | 3 |
College Faculty | 2 |
Correlation | 2 |
Foreign Countries | 2 |
Higher Education | 2 |
Predictor Variables | 2 |
Questionnaires | 2 |
Statistical Analysis | 2 |
Accounting | 1 |
Campuses | 1 |
More ▼ |
Source
International Journal of… | 3 |
Author
Byrne, Marann | 1 |
Carter, Stephen | 1 |
Chughtai, Aamir | 1 |
Flood, Barbara | 1 |
Murphy, Evelyn | 1 |
Tang, Cindy Shin-Yi | 1 |
Tang, David Shin-Hsiung | 1 |
Tang, Thomas Li-Ping | 1 |
Willis, Pauline | 1 |
Yeo, Amy Chu-May | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Maslach Burnout Inventory | 1 |
What Works Clearinghouse Rating
Carter, Stephen; Yeo, Amy Chu-May – International Journal of Educational Management, 2016
Purpose: The purpose of this paper is to investigate two areas of interest: first, to determine business student customer satisfiers that could be contributors to students' current and predicted retention in a higher educational institution (HEI) and second, to use these satisfiers to inform HEI marketing planning. Design/Methodology/Approach: The…
Descriptors: Marketing, Prediction, Retention (Psychology), Higher Education
Byrne, Marann; Chughtai, Aamir; Flood, Barbara; Murphy, Evelyn; Willis, Pauline – International Journal of Educational Management, 2013
Purpose: The purpose of this paper is to assess the levels of burnout experienced by accounting and finance academics in Ireland. Design/methodology/approach: Data for this cross-sectional survey study were collected from 100 accounting and finance academics teaching in Irish third level institutions. Independent sample "t"-tests, one…
Descriptors: College Faculty, Accounting, Teaching Methods, Statistical Analysis
Tang, Thomas Li-Ping; Tang, David Shin-Hsiung; Tang, Cindy Shin-Yi – International Journal of Educational Management, 2004
This research employs institutional characteristics and market-related factors to predict undergraduate students' tuition at 190 private colleges and universities in the USA. Results showed that the strongest correlations among variables for college tuition were reputation ranking and SAT scores. Results of a hierarchical multiple regression…
Descriptors: Undergraduate Students, Private Colleges, Reputation, Institutional Characteristics