| dc.contributor.author | Acquah, Edward | |
| dc.date.accessioned | 2008-12-08T23:28:46Z | |
| dc.date.available | 2008-12-08T23:28:46Z | |
| dc.date.issued | 2008-12-08T23:28:46Z | |
| dc.identifier.uri | http://hdl.handle.net/2149 /1765 | |
| dc.description | The presentation was well attended by 30 conference participants. There were only 2 presentations on distance education and the curiosity and excitement was very high. The presentation was well received and the analysis generated questions about the application of traditional institution models to non-traditional institutions. The analysis was first of its kind at an AIR conference. Conference participants expressed interest in seeing more of such research presentations from distance education institutions in the future. Participants had no idea that the theories and models could work when applied to distance education institutions. Participants were very grateful for such a scholarly presentation. In fact they asked for research in other areas like enrolment demand and student price response by non-traditional distance education students. I have already completed a research in this area and plan to update for next year’s conference. There is an opportunity to establish a name in this very important part of higher education and I think I have got the analytical tools and research expertise to advance distance education research. | en |
| dc.description.abstract | Past research in higher education focused mainly on traditional institutions. As distance education institutions come of age, attention is now shifting to these institutions. The study uses multiple regression models to examine the extent to which time-to-degree and graduation rates are influenced by institutional factors. The empirical results indicate that institutional factors such as direct instructional expenditures, student services expenditures, credit requirements, program difficulty, degrees type and group delivery mode are significant determinants of time-to-degree and graduation rates. The results can be of considerable value in predicting the institution’s overall effectiveness, as well as in institutional self-analysis and policy-making. | en |
| dc.description.sponsorship | Academic & Professional Development Fund (A&PDF) | en |
| dc.language.iso | en | en |
| dc.relation.ispartofseries | 92.926. G1063; | |
| dc.subject | Multiple regressioni models | en |
| dc.subject | time-to-degree and graduation rates | en |
| dc.title | The Examination of the Influence of Institutional Factors on Time-to-Degree and Graduation Rates at a Distance Education and Open University presented as the 2008 Association for Institutional Research Conference in Seattle, WH, May 24-28, 2008 | en |
| dc.type | Presentation | en |
