Psychometrics & Post-Data Analysis for Jamovi

DEVELOPMENT IS CURRENTLY ON HOLD. CONTACT THE CREATOR FOR DETAILS OR INTEREST IN RENEWING THE PROJECT.

This module is a tool for performing various Psychometric & Post-Data Analyses.

The current tools available are:

• BinaryLogR (Binary Logistic Regression for Differential Item Functioning):

  Assessing DIF on dichotomously scored items using a generalized linear model framework (GLIM). By incorporating the GLIM family of methods for detecting DIF in a user-friendly interface, the technical barrier to assessing DIF has been greatly reduced. The development of techniques for assessing of Type-M error rates (Gelman & Carlin, 2014) on DIF-classification thresholds represents a revolution in the interpretability of DIF-flagging, particularly in the context of low-powered research settings. The goal developing this module is to encourage the use of the the GLIM framework in the broader psychosocial measure validation praxis.

• Test ROC (Measure Diagnostics) The TestROC module provides an interface to the cutpointR R-package. This module enables researchers in psychosocial validation work to assess the optimal cutpoints of measures. Additional info to come

In testing/development:

• Ordinal logistic regression for DIF

• Design analysis for:

  • T-Test for Mean differences
  • T-Test for Correlations

• Reliability analysis for ordinal measures

Installation

You will first need to download jamovi.

Select the jamovi modules library and install PPDA from there

From source

You will first need to download jamovi.

Next, clone this repository and compile the module within R with jmvtools.

install.packages('jmvtools', repos=c('https://repo.jamovi.org', 'https://cran.r-project.org'))

setwd(directory/of/cloned/repo)

jmvtools::install()

Troubleshooting

While using the module

See https://lucasjfriesen.github.io/jamoviPsychoPDA_docs/

Installation

N/A yet