Preregistration of secondary data analysis: A template and tutorial
Meta-Psychology, vol. 5
Abstract
Preregistration has been lauded as one of the solutions to the so-called ‘crisis of confidence’ in the social sciences and has therefore gained popularity in recent years. However, the current guidelines for preregistration have been developed primarily for studies where new data will be collected. Yet, preregistering secondary data analyses--- where new analyses are proposed for existing data---is just as important, given that researchers’ hypotheses and analyses may be biased by their prior knowledge of the data. The need for proper guidance in this area is especially desirable now that data is increasingly shared publicly. In this tutorial, we present a template specifically designed for the preregistration of secondary data analyses and provide comments and a worked example that may help with using the template effectively. Through this illustration, we show that completing such a template is feasible, helps limit researcher degrees of freedom, and may make researchers more deliberate in their data selection and analysis efforts.
Authors 14
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Affiliation as printed
Tilburg University
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Affiliation as printed
Department of Psychology , University of Oregon
Department of Psychology, University of Oregon
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Affiliation as printed
Department of Psychology , University of Western On- tario
Department of Psychology, University of Western On-tario
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Affiliation as printed
Department of Psychology, Michigan State University
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Affiliation as printed
Department of Psychology, University of Houston
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Affiliation as printed
Department of Psychology , University of Michigan
Department of Psychology, University of Michigan
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Affiliation as printed
Department of Psychology , Northwestern University
Department of Psychology, Northwestern University
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Affiliation as printed
Department of Psychology , Princeton University
Department of Psychology, Princeton University
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Affiliation as printed
EGADE Business School , Tec de Monterrey
EGADE Business School, Tec de Monterrey
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University of Vienna · Max Planck Institute for Behavioral Economics
Affiliation as printed
Department of Applied Psychology: Work, Education and Economy , University of Vienna Max Planck Insti- tute for Research on Collective Goods
Department of Applied Psychology: Work, Education and Economy, University of Vienna Max Planck Insti-tute for Research on Collective Goods
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King's College London · Columbia University
Affiliation as printed
Social , Genetic and Developmental Psychiatry Centre , King's College
Social, Genetic and Developmental Psychiatry Centre, King's College
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Massachusetts General Hospital
Affiliation as printed
Division of General Internal Medicine , Massachusetts General Hospital
Division of General Internal Medicine, Massachusetts General Hospital
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Anna van 't Veer Aachen Methodology and Statistics Unit Institute of Psychol- ogy Institute of Psychol-ogy, Leiden University
Affiliation as printed
Methodology and Statistics Unit , Institute of Psychol- ogy , Leiden University
Methodology and Statistics Unit, Institute of Psychol-ogy, Leiden University
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Affiliation as printed
Department of Methodology and Statistics , Tilburg Uni- versity
Department of Methodology and Statistics, Tilburg Uni-versity
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