Skip to main content

Research Repository

Advanced Search

An Empirical Unravelling of Lord’s Paradox

Xiao, Z.; Higgins, S.; Kasim, A.

An Empirical Unravelling of Lord’s Paradox Thumbnail


Authors

Z. Xiao

A. Kasim



Abstract

Lord's Paradox occurs when a continuous covariate is statistically controlled for and the relationship between a continuous outcome and group status indicator changes in both magnitude and direction. This phenomenon poses a challenge to the notion of evidence-based policy, where data are supposed to be self-evident. We examined 50 effect size estimates from 34 large-scale educational interventions and found that impact estimates are affected in magnitude, with or without reversal in sign, when there is substantial baseline imbalance. We also demonstrated that multilevel modeling can ameliorate the divergence in sign and/or magnitude of effect estimation, which, together with project specific knowledge, promises to help those who are presented with conflicting or confusing evidence in decision-making.

Citation

Xiao, Z., Higgins, S., & Kasim, A. (2019). An Empirical Unravelling of Lord’s Paradox. The Journal of Experimental Education, 87(1), 17-32. https://doi.org/10.1080/00220973.2017.1380591

Journal Article Type Article
Acceptance Date Sep 6, 2017
Online Publication Date Nov 7, 2017
Publication Date 2019
Deposit Date Jul 17, 2017
Publicly Available Date May 7, 2019
Journal Journal of Experimental Education
Print ISSN 0022-0973
Electronic ISSN 1940-0683
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 87
Issue 1
Pages 17-32
DOI https://doi.org/10.1080/00220973.2017.1380591
Keywords Lord's Paradox, RCT, Multilevel Modelling, Evidence-Based Policy, Evaluation.
Related Public URLs https://osf.io/auq24/

Files






You might also like



Downloadable Citations