Open Science

General

  • Improving Replicability of Developmental Research workshop

  • Increasing transparency of pre-existing data analysis

  • Document from University of Guelph explaining how to avoid questionable research practices in planning and reporting experiments.

  • How to Open ScienceResource on all aspects of open science.

  • Pactical guide to transparency in psychological science

  • Adressing criticisms of open science and high powered research (LeBel et al.)

Pre-registration

  • Pre-Registration Templates

  • Pre-Registration Template for Experience Sampling studies

  • Pre-Registration Workshop

  • Pre-Registering Secondary Data Workshop Materials

  • Sample exploratory correlational study preregistration

  • Practical guide and overview of resources for preregistration (David Mellor)

  • Open Science Framework: Ideal place to store all materials relevant to a research project.

  • Pre-registration templates by discipline and study type.

  • Aspredicted: Website for easily preregistering studies.

  • Guidelines + preregistration template (Van ‘t Veer and Giner-Sorolla)

  • Simple preregistration worksheet (Elizabeth Dunn)

  • Pre-registration template for secondary data analysis (Weston & Bakker)

Registered reports

  • Registered Reports Resources

Open data

  • Google dataset search

  • Open access large datasets

  • Open Stats Lab: Freely available datasets for teaching purposes.

  • Twitter thread about freely available datasets to use in R or elsewhere

  • List of freely available datasets (Cameron Brick)

  • ESSurvey: RPackage for downloading and analyzing data from the European Social Survey.

Data Forensics

  • Statistical tool for identifying reporting errors

  • Data simulation to gain insights into power/p-hacking

  • Statcheck: Online tool to check whether there any errors in your paper

  • SPRITE: method to reconstruct datasets based on available means, SDs and Ns. A tool for detecting errors (James Heathers et al.)

Meta-Science

Theory

  • The cycle of theory formation in (social) psychology (Klaus Fiedler)

  • Gerd Gigerenzer’s reflections on theory and psychology.

  • Barry Markovsky on evolution and nebulousness in social psychological theories.

philosophy of science

  • Philosophy of science lectures (Paul Meehl)

  • Summary of Paul Meehl’s lectures as well as of some of his most important papers (Psychbrief)

  • Argument for choosing prediction (using machine learning) rather than explanation in psychology (Yarkoni and Westfall)