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Quo Vadis, Methodology? The Key Role of Manipulation Checks for Validity Control and Quality of Science

The current debate about how to improve the quality of psychological science revolves, almost exclusively, around the subordinate level of statistical significance testing. In contrast, research design and strict theorizing, which are superordinate to statistics in the methods hierarchy, are sorely...

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Detalles Bibliográficos
Autores principales: Fiedler, Klaus, McCaughey, Linda, Prager, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273363/
https://www.ncbi.nlm.nih.gov/pubmed/33440127
http://dx.doi.org/10.1177/1745691620970602
Descripción
Sumario:The current debate about how to improve the quality of psychological science revolves, almost exclusively, around the subordinate level of statistical significance testing. In contrast, research design and strict theorizing, which are superordinate to statistics in the methods hierarchy, are sorely neglected. The present article is devoted to the key role assigned to manipulation checks (MCs) for scientific quality control. MCs not only afford a critical test of the premises of hypothesis testing but also (a) prompt clever research design and validity control, (b) carry over to refined theorizing, and (c) have important implications for other facets of methodology, such as replication science. On the basis of an analysis of the reality of MCs reported in current issues of the Journal of Personality and Social Psychology, we propose a future methodology for the post–p < .05 era that replaces scrutiny in significance testing with refined validity control and diagnostic research designs.