Arbeitspapier

Insights into survey errors of large scale educational achievement surveys

While educational achievement surveys revolutionised research on education cross-nationally, the surveys have been repeatedly subject of heated debate since first results were published. This paper reviews existing research examining the design and methodology of educational achievement surveys. Results are reported by allocating them to the specific survey error component of achievement estimates they address. Different error components from the design, collection, processing and analysis of survey data constitute the total survey error, which is an error difficult to quantify but important for assessing the overall accuracy of the surveys’ achievement estimates. The review shows that there are many reasons to assume that the total survey error associated with countries’ educational achievement estimates is likely to be inflated by other errors besides the standard error reported by survey organisers. Given the policy relevance of the surveys’ estimates, policy makers and the research community would greatly benefit from survey organisers providing more transparency on the different potential errors of educational achievement estimates. Without this information the debate about the fitness of educational achievement data for policy making is unlikely to dissolve.

ISBN
978-92-79-85795-9
Sprache
Englisch

Erschienen in
Series: JRC Working Papers in Economics and Finance ; No. 2018/5

Klassifikation
Wirtschaft
Education and Research Institutions: General
Analysis of Education
Survey Methods; Sampling Methods
Thema
educational achievement surveys
survey methodology
survey errors
PISA
TIMSS
PIRLS

Ereignis
Geistige Schöpfung
(wer)
Schnepf, Sylke
Ereignis
Veröffentlichung
(wer)
Publications Office of the European Union
(wo)
Luxembourg
(wann)
2018

DOI
doi:10.2760/219007
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Schnepf, Sylke
  • Publications Office of the European Union

Entstanden

  • 2018

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