Daniel Lakens
Eindhoven University of Technology
Embodied cognitionStatisticsEmpirical researchReplication (statistics)PsychologyCognitive psychologyData sciencePerceptionOpen scienceTest (assessment)Publication biasMathematicsType I and type II errorsComputer sciencePower analysisApplied psychologySocial psychologyStatistical hypothesis testingStatistical powerAnalysis of variance
165Publications
33H-index
10.8kCitations
Publications 162
Newest
#1Richard D. MoreyH-Index: 45
#2Michael P. KaschakH-Index: 29
Last. John L. JonesH-Index: 6
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#1Farid Anvari (TU/e: Eindhoven University of Technology)H-Index: 5
#2Daniel Lakens (TU/e: Eindhoven University of Technology)H-Index: 33
Abstract Effect sizes are an important outcome of quantitative research, but few guidelines exist that explain how researchers can determine which effect sizes are meaningful. Psychologists often want to study effects that are large enough to make a difference to people's subjective experience. Thus, subjective experience is one way to gauge the meaningfulness of an effect. We propose and illustrate one method for how to quantify the smallest subjectively experienced difference—the smallest chan...
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#1Daniel Lakens (TU/e: Eindhoven University of Technology)H-Index: 33
Psychological science would become more efficient if researchers implemented sequential designs where feasible. Miller and Ulrich (2020) propose an independent segments procedure where data can be analyzed at a prespecified number of equally spaced looks while controlling the Type I error rate. Such procedures already exist in the sequential analysis literature, and in this commentary, I reflect on whether psychologists should choose to adopt these existing procedures instead. I believe limitati...
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#1Anne M. Scheel (TU/e: Eindhoven University of Technology)H-Index: 6
#2Leonid Tiokhin (TU/e: Eindhoven University of Technology)H-Index: 9
Last. Daniel Lakens (TU/e: Eindhoven University of Technology)H-Index: 33
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For almost half a century, Paul Meehl educated psychologists about how the mindless use of null-hypothesis significance tests made research on theories in the social sciences basically uninterpretable. In response to the replication crisis, reforms in psychology have focused on formalizing procedures for testing hypotheses. These reforms were necessary and influential. However, as an unexpected consequence, psychological scientists have begun to realize that they may not be ready to test hypothe...
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#2Daniel LakensH-Index: 33
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#1Aaron R. CaldwellH-Index: 9
#2Daniel LakensH-Index: 33
#1Marie DelacreH-Index: 6
#2Daniel LakensH-Index: 33
Last. Christophe LeysH-Index: 56
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#1Daniel Lakens (TU/e: Eindhoven University of Technology)H-Index: 33
#2Lisa M. DeBruine (Glas.: University of Glasgow)H-Index: 68
Making scientific information machine-readable greatly facilitates its reuse. Many scientific articles have the goal to test a hypothesis, so making the tests of statistical predictions easier to f...
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#1Anne M. ScheelH-Index: 6
#2Mitchell SchijenH-Index: 1
Last. Daniel LakensH-Index: 33
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Selectively publishing results that support the tested hypotheses (“positive” results) distorts the available evidence for scientific claims. For the past decade, psychological scientists have been...
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