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Kylie Anglin; Qing Liu; Vivian C. Wong – Asia Pacific Education Review, 2024
Given decision-makers often prioritize causal research that identifies the impact of treatments on the people they serve, a key question in education research is, "Does it work?". Today, however, researchers are paying increasing attention to successive questions that are equally important from a practical standpoint--not only does it…
Descriptors: Educational Research, Program Evaluation, Validity, Classification
Vivian C. Wong; Kylie Anglin; Peter M. Steiner – Grantee Submission, 2022
Recent interest in promoting replication efforts assumes that there is well-established methodological guidance for designing and implementing these studies. However, no such consensus exists in the methodology literature. This article addresses these challenges by describing design-based approaches for planning systematic replication studies. Our…
Descriptors: Replication (Evaluation), Causal Models, Research Design, Measurement
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Vivian C. Wong; Kylie Anglin; Peter M. Steiner – Prevention Science, 2022
Recent interest in promoting replication efforts assumes that there is well-established methodological guidance for designing and implementing these studies. However, no such consensus exists in the methodology literature. This article addresses these challenges by describing design-based approaches for planning systematic replication studies. Our…
Descriptors: Replication (Evaluation), Causal Models, Research Design, Measurement
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Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity