Measurement equivalence in replications of experiments: when and why it matters and guidance on how to determine equivalence
Measurement equivalence in replications of experiments: when and why it matters and guidance on how to determine equivalence
复制标题
DOI:
10.1080/14719037.2016.1210906
复制
发表时间:
2016-06
影响因子:
4.9
通讯作者:
S. Jilke;Nicolai Petrovsky;B. Meuleman;O. James
中科院分区:
文献类型:
--
作者:
S. Jilke;Nicolai Petrovsky;B. Meuleman;O. James
ABSTRACT Replications of experiments are typically conducted to verify initial findings, increase their external validity, or to study the boundary conditions of treatment effects. A crucial and implicitly made assumption is that outcome measures in experiments are sufficiently comparable (i.e., equivalent) across experimental settings. We argue that there are good reasons to believe that this equivalence assumption may not always be met and should therefore be tested empirically. Integrating the literature on experimental replication and survey measurement equivalence, we provide guidance when and how experimental replicators need to determine cross-replication equivalence.