Lakens/justify_alpha_in_practice

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Lakens/justify_alpha_in_practice

Lakens

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Some approaches to justify your alpha

statistical_inferences

Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

perfect-t-test

TOSTER

TOST equivalence test and power functions

ANOVApower

Simulation-Based Power Analysis for ANOVA Designs

ANOVA_power_simulation

Code to simulate factorial ANOVA's

p-curves

shiny_apps

Collection of shiny apps

sample_size_justification

Repository for the reproducible code of the Sample Size Justification manuscript

open_peer_review

follow_up_bias

Biased sample size estimates in a-priori power analysis due to the choice of the effect size index and follow-up bias

reproducing_registered_reports

Reproducing Registered Reports in Psychology

JustifyAlpha

Functions to justify your alpha

EquivalenceTestingForPsychologicalScience

TOST_vs_SGPV

BF_TOST

anchor_based_methods_SESOI

reproducibility_assignment

This is an assignment to practice an open and reproducible data analysis workflow

detect_effect

How good are we at detecting effects?

registered_published

We quantified how many research studies registered on the Open Science Framework (OSF)are performed but never publicly shared.

The-perfect-t-test

equivalence_anova

0HV80

sample_size_justification_app

Shiny app to guide researchers through their sample size justification following Lakens (2022)

lakens.github.io

Simulation_Based_Power_Analysis_For_Factorial_ANOVA_Designs

Repository for the manuscript Simulation Based Power Analysis For Factorial ANOVA Designs