Mining institutional datasets to support policy making and implementation
Bibliographic Data
| ID | 4545221 |
|---|---|
| Authors | Mantz Yorke (Liverpool John Moores University), Greg Barnett (London Metropolitan University), Peter Evanson (London Metropolitan University), Chris Haines, Don Jenkins (Anglia Ruskin University), Peter Knight (0000-0002-1076-5379, Hong Kong Metropolitan University), Dave Scurry (Oxford Brookes University), Marie Stowell (University of Worcester), Harvey Woolf (University of Wolverhampton) |
| Year | 2005 |
| Volume | 27 |
| Issue | 2 |
| Pages | 285-298 |
| Publication date | 2005-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Higher Education Policy and Management (JOURNAL) |
| Journal identifiers | ISSN: 1360-080X • E-ISSN: 1469-9508 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13600800500120241 |
| OpenAlex | W2061666027 |
| Language | EN |
| Citations received | 2 |
| References cited | 6 |
Datasets are often under-exploited by institutions, yet they contain evidence that is potentially of high value for planning and decision-making. This article shows how institutional data were used to determine whether the demographic background of students might have an influence on their performance: this is a matter of particular interest where participation in higher education is being widened. Analyses showed that, whilst area of domicile appeared to be related to lower performance in a few disciplinary areas, much stronger relationships were evident in respect of other demographic variables. The use of nonparametric analyses based on cutting module performances at the median, rather than using raw scores, is of methodological interest since the distribution of raw marks is influenced by the subject discipline
Discipline · Econometrics · Economic growth · Economics · Higher education · Machine learning · Nonparametric statistics · Pedagogy · Raw data · Raw score · Social science · Sociology · Subject (documents · Subject matter · Value (mathematics · Academic integrity and plagiarism · Computer Science · Psychology · scientometrics and bibliometrics research
Coursework Marks High, Examination Marks Low
Self‐help in research and development relating to assessment
Using Marks to Assess Student Performance, some problems and alternatives
Gender and mode of assessment at university
Institutional research and its relevance to the performance of higher education institutions
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,13 |
| Citation span | 2010 - 2022 (13) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |