.png){kind=icon}
.png){kind=icon}
Return
Replication Studies Using Secondary or Nonexperimental Datasets
.png){kind=icon}
PRE
AI
DOI：10.1080/2372966X.2024.2346781.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Replication studies have been promoted as a means to investigate the fragility or robustness of findings from prior studies. However, less well known is that replication studies can be done with nonexperimental or secondary datasets and are not just for experimental studies. We present a framework of different types of replication studies with nonexperimental or secondary data and provide examples in the context of school psychology. We show that replication studies can be used as robustness checks, as a means of testing the generalizability of existing theories, and as a way of extending findings of prior studies. We advocate for the thoughtful use of replication studies and highlight some of the benefits of replications.IMPACT STATEMENT The replication rate for articles in school psychology journals (2011-2020) was 0.86%.Although replication efforts largely pertain to experimental studies, we discuss replication studies using secondary or nonexperimental datasets.We show a typology of four types of replication studies and provide examples in the context of school psychology research.
Keywords:
open science
replicability
secondary datasets
nonexperimental datasets
Willa van Dijk
Journal
IF:
4.2
Papers:
517
Citations:
3.3K
