File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1080/03050068.2017.1300008
- Scopus: eid_2-s2.0-85015635067
- WOS: WOS:000399326100002
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: A new global policy regime founded on invalid statistics? Hanushek, Woessmann, PISA, and economic growth
Title | A new global policy regime founded on invalid statistics? Hanushek, Woessmann, PISA, and economic growth |
---|---|
Authors | |
Keywords | economic growth global learning metrics Human Capital Knowledge Capital OECD PISA statistical significance TIMSS World Bank |
Issue Date | 2017 |
Citation | Comparative Education, 2017, v. 53, n. 2, p. 166-191 How to Cite? |
Abstract | Several recent, highly influential comparative studies have made strong statistical claims that improvements on global learning assessments such as PISA will lead to higher GDP growth rates. These claims have provided the primary source of legitimation for policy reforms championed by leading international organisations, most notably the World Bank and OECD. To date there have been several critiques but these have been too limited to challenge the validity of the claims. The consequence is continued utilisation and citation of these strong claims, resulting in a growing aura of scientific truth and concrete policy reforms. In this piece we report findings from two original studies that invalidate these statistical claims. Our intent is to contribute to a more rigorous global discussion on education policy, as well as call attention to the fact that the new global policy regime is founded on flawed statistics. |
Persistent Identifier | http://hdl.handle.net/10722/335284 |
ISSN | 2023 Impact Factor: 3.1 2023 SCImago Journal Rankings: 1.692 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Komatsu, Hikaru | - |
dc.contributor.author | Rappleye, Jeremy | - |
dc.date.accessioned | 2023-11-17T08:24:35Z | - |
dc.date.available | 2023-11-17T08:24:35Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Comparative Education, 2017, v. 53, n. 2, p. 166-191 | - |
dc.identifier.issn | 0305-0068 | - |
dc.identifier.uri | http://hdl.handle.net/10722/335284 | - |
dc.description.abstract | Several recent, highly influential comparative studies have made strong statistical claims that improvements on global learning assessments such as PISA will lead to higher GDP growth rates. These claims have provided the primary source of legitimation for policy reforms championed by leading international organisations, most notably the World Bank and OECD. To date there have been several critiques but these have been too limited to challenge the validity of the claims. The consequence is continued utilisation and citation of these strong claims, resulting in a growing aura of scientific truth and concrete policy reforms. In this piece we report findings from two original studies that invalidate these statistical claims. Our intent is to contribute to a more rigorous global discussion on education policy, as well as call attention to the fact that the new global policy regime is founded on flawed statistics. | - |
dc.language | eng | - |
dc.relation.ispartof | Comparative Education | - |
dc.subject | economic growth | - |
dc.subject | global learning metrics | - |
dc.subject | Human Capital | - |
dc.subject | Knowledge Capital | - |
dc.subject | OECD | - |
dc.subject | PISA | - |
dc.subject | statistical significance | - |
dc.subject | TIMSS | - |
dc.subject | World Bank | - |
dc.title | A new global policy regime founded on invalid statistics? Hanushek, Woessmann, PISA, and economic growth | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1080/03050068.2017.1300008 | - |
dc.identifier.scopus | eid_2-s2.0-85015635067 | - |
dc.identifier.volume | 53 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 166 | - |
dc.identifier.epage | 191 | - |
dc.identifier.eissn | 1360-0486 | - |
dc.identifier.isi | WOS:000399326100002 | - |