PAMLj: The new Power Analysis Module for jamovi

We’re excited to introduce a new power analysis module for jamovi, designed to simplify and enhance your research planning. This module supports a broad range of statistical tests, making it a useful tool for researchers across various fields. Whether you’re conducting ANOVA, regression, mediation analysis, t-tests, correlation, proportions, general linear models, or Structural Equation Models (SEM), this module allows you to perform robust power analyses in one convenient place.

Statistics without mathematics series

The Statistics without Mathematics books from Vor Press are available in a variety of ‘skins’. In all versions, including those using jamovi, the subject is taught without statistical formulae in order to reduce ‘statistics anxiety’.

A brand new GAMLj

GAMLj3

GAMLj is a jamovi module designed to estimate a wide range of linear models, including the general linear model (ANOVA/Regression), the generalized linear model (logistic, multinomial, Poisson, etc.), and random coefficients models (mixed and multilevel models) for both continuous and categorical dependent variables.

Calculating Log Likelihood Ratios (LLRs) using the jeva module

tl;dr

Ever wanted to try doing an evidential analysis? You may have found it difficult to find a statistical platform to do it. Now there is the jamovi module jeva which can provide log likelihood ratios for a range of common statistical tests.

An invitation to translate jamovi

tl;dr

Join the jamovi community, and contribute to translating jamovi!