2021
DOI: 10.1017/lst.2021.11
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Enforcing rights in employment tribunals: insights from age discrimination claims in a new ‘dataset’

Abstract: The online publication of employment tribunal (ET) decisions in England, Wales and Scotland marks a watershed moment, opening up new innovative avenues for legal research, and promoting transparency in labour law decision-making. Drawing on this ‘dataset’, and using age discrimination decisions as a lens to facilitate analysis, this paper reflects on the advantages and limitations of using online ET decisions as a data source to support labour law research. By considering matters of time in age discrimination … Show more

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Cited by 5 publications
(1 citation statement)
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“…For example, Blackham combined doctrinal, content and quantitative methods in her work on age discrimination in Employment Tribunals of England and Wales, and Scotland. 159 The objectives of this article, to develop a new interdisciplinary analytical framework and associate it with patterns that emerge through a quantitative analysis of the Equality Law in Europe database, render mixed-methods analysis an ideal choice. Moreover, the nature of the dataset, with the overwhelming majority of the data being categorical or nominal, ensures that the descriptive strand of quantitative methodology is aptly suited to serve the objectives of this macro-level study.…”
Section: Dataset and Methodologymentioning
confidence: 99%
“…For example, Blackham combined doctrinal, content and quantitative methods in her work on age discrimination in Employment Tribunals of England and Wales, and Scotland. 159 The objectives of this article, to develop a new interdisciplinary analytical framework and associate it with patterns that emerge through a quantitative analysis of the Equality Law in Europe database, render mixed-methods analysis an ideal choice. Moreover, the nature of the dataset, with the overwhelming majority of the data being categorical or nominal, ensures that the descriptive strand of quantitative methodology is aptly suited to serve the objectives of this macro-level study.…”
Section: Dataset and Methodologymentioning
confidence: 99%