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Review of Education
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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UCL Discovery
Article . 2023
Data sources: UCL Discovery
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Teacher surveys: The pros and cons of random probability surveys versus teacher panels

Authors: Jerrim, J;

Teacher surveys: The pros and cons of random probability surveys versus teacher panels

Abstract

Abstract Two commonly used approaches to capturing information about teachers are random probability surveys and teacher panels. This paper reviews the strengths and limitations of these two approaches in the context of capturing information about the teacher workforce. A case study is then presented drawing upon recent teacher survey data collections in England. Although both designs should continue to play an important role in generating evidence about the teaching profession, random probability surveys of teachers should be used sparingly, and only when they will be properly resourced.

Country
United Kingdom
Keywords

teachers, non-response, teacher panels, random probability samples

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    7
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
hybrid