Design-Based Approaches to Causal Replication Studies

Autor/inn/en	Wong, Vivian C.; Anglin, Kylie; Steiner, Peter M.
Titel	Design-Based Approaches to Causal Replication Studies
Quelle	In: Prevention Science, 23 (2022) 5, S.723-738 (16 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Wong, Vivian C.) Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1389-4986
DOI	10.1007/s11121-021-01234-7
Schlagwörter	Replication (Evaluation); Causal Models; Research Design; Measurement; Field Studies + Suchen Sie Ihr Suchwort? Kausalanalyse; Forschungsdesign; Messverfahren; Praxisforschung
Abstract	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 general approach is derived from the Causal Replication Framework (CRF), which formalizes the assumptions under which replication success can be expected. The assumptions may be understood broadly as replication design requirements and individual study design requirements. Replication failure occurs when one or more CRF assumptions are violated. In design-based approaches to replication, CRF assumptions are systematically tested to evaluate the replicability of effects, as well as to identify sources of effect variation when replication failure is observed. The paper describes research designs for replication and demonstrates how multiple designs may be combined in systematic replication efforts, as well as how diagnostic measures may be used to assess the extent to which CRF assumptions are met in field settings. (As Provided).
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Update	2024/1/01