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Social Sciences and Humanities

D-Index
53
Citations
36103
World Ranking
2209
National Ranking
88

Overview

Daniel Lakens is affiliated with Eindhoven University of Technology in the Netherlands. Their research spans multiple areas within psychology and decision sciences, focusing extensively on statistical methodologies and applied psychological practices.

The scientist has a substantial number of publications in fields including psychology and decision sciences. More specifically, their work covers:

  • Psychology
  • Decision Sciences

Within these disciplines, Lakens has contributed to several subfields. These include:

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Applied Psychology
  • Experimental and Cognitive Psychology
  • Social Psychology

Their main research topics focus on:

  • Meta-analysis and systematic reviews
  • Mental Health Research Topics
  • Behavioral Health and Interventions
  • Scientometrics and bibliometrics research
  • Statistical Methods in Clinical Trials
  • Cultural Differences and Values
  • Explainable Artificial Intelligence (XAI)

Among recent papers by Daniel Lakens are the following:

  • "Sample Size Justification," 2022, published in Collabra Psychology
  • "Simulation-Based Power Analysis for Factorial Analysis of Variance Designs," 2021, published in Advances in Methods and Practices in Psychological Science
  • "An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports," 2021, published in Advances in Methods and Practices in Psychological Science
  • "Why Hypothesis Testers Should Spend Less Time Testing Hypotheses," 2020, published in Perspectives on Psychological Science
  • "Using anchor-based methods to determine the smallest effect size of interest," 2021, published in Journal of Experimental Social Psychology

Daniel Lakens frequently collaborates with several researchers, including:

  • Chao Zhang
  • Wijnand A. IJsselsteijn
  • Cristian Mesquida
  • Peder Mortvedt Isager
  • Arlette van Wissen

Publications by this scientist appear regularly in well-established venues such as:

  • Advances in Methods and Practices in Psychological Science
  • Perspectives on Psychological Science
  • Meta-Psychology
  • PLoS ONE
  • International Review of Social Psychology

Best Publications

  • Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

    D Daniël Lakens

  • Estimating the reproducibility of psychological science

    Alexander A. Aarts;Joanna E. Anderson;Christopher J. Anderson;Peter R. Attridge;Peter R. Attridge

  • Equivalence tests : a practical primer for t tests, correlations, and meta-analyses

    D Daniël Lakens

  • Equivalence Testing for Psychological Research: A Tutorial

    Daniël Lakens;Anne M. Scheel;Peder M. Isager

  • Many Labs 2: Investigating Variation in Replicability Across Samples and Settings

    Richard A. Klein;Michelangelo Vianello;Fred Hasselman;Byron G. Adams

  • Why psychologists should by default use Welch's t-test instead of student's t-test

    Marie Delacre;Daniël Lakens;Christophe Leys

  • Registered Reports A Method to Increase the Credibility of Published Results

    Brian A. Nosek;Daniël Lakens

  • An open, large-scale, collaborative effort to estimate the reproducibility of psychological science

    D Daniël Lakens

  • Weight as an Embodiment of Importance

    Nils B Jostmann;D Daniël Lakens;Thomas W Schubert

  • Justify your alpha

    Daniel Lakens;Federico G. Adolfi;Federico G. Adolfi;Casper J. Albers;Farid Anvari

  • Performing High-Powered Studies Efficiently With Sequential Analyses

    D Daniël Lakens

  • Simulation-Based Power Analysis for Factorial Analysis of Variance Designs:

    Daniël Lakens;Aaron R. Caldwell;Aaron R. Caldwell

  • An excess of positive results: Comparing the standard Psychology literature with Registered Reports

    Anne M. Scheel;Mitchell R. M. J. Schijen;Daniël Lakens

  • When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias

    Casper Albers;D Daniël Lakens

  • If They Move in Sync, They Must Feel in Sync: Movement Synchrony Leads to Attributions of Rapport and Entitativity

    Daniël Lakens;Mariëlle Stel

  • Why Hypothesis Testers Should Spend Less Time Testing Hypotheses.

    Anne M Scheel;Leonid Tiokhin;Peder M Isager;Daniël Lakens

  • Rewarding replications: A sure and simple way to improve psychological science.

    Sander L. Koole;Daniël Lakens

  • How to classify, detect, and manage univariate and multivariate outliers, with emphasis on pre-registration

    Christophe Leys;Marie Delacre;Youri L. Mora;Daniël Lakens

  • Improving Inferences about Null Effects with Bayes Factors and Equivalence Tests

    Daniël Lakens;Neil Marvin McLatchie;Peder M. Isager;Anne M. Scheel

  • Sailing From the Seas of Chaos Into the Corridor of Stability: Practical Recommendations to Increase the Informational Value of Studies

    Daniël Lakens;Ellen R. K. Evers

  • The Peer Reviewers' Openness Initiative: incentivizing open research practices through peer review

    Richard D. Morey;Christopher D. Chambers;Peter J. Etchells;Christine R. Harris

  • Sample Size Justification

    Lakens D

Frequent Co-Authors

Brian A. Nosek
Brian A. Nosek Center for Open Science
Richard D. Morey
Richard D. Morey Cardiff University
Gün R. Semin
Gün R. Semin ISPA - University Institute of Psychological, Social and Life Sciences
Sander L. Koole
Sander L. Koole Vrije Universiteit Amsterdam
Lisa M. DeBruine
Lisa M. DeBruine University of Glasgow
Thomas W. Schubert
Thomas W. Schubert University of Oslo
Eric-Jan Wagenmakers
Eric-Jan Wagenmakers University of Amsterdam
Rolf A. Zwaan
Rolf A. Zwaan Erasmus University Rotterdam
Marco Perugini
Marco Perugini University of Milano-Bicocca
Jennifer L. Tackett
Jennifer L. Tackett Northwestern University

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