PsychoMatic
Automated Psychometric Workflows and Reporting Tools
Automates common psychometric workflows for applied researchers,
including item descriptives, inter-item correlations, exploratory and
confirmatory factor analysis, exploratory structural equation measurement
models, reliability, psychometric network analysis, multi-group measurement
invariance, and alignment optimization. Decision heuristics are informed by
procedures such as parallel analysis (Horn, 1965,
PsychoMatic
Psychometric analysis and bilingual reports in R.
PsychoMatic 1.0.1 simplifies descriptives, correlations, factor analysis (EFA, CFA and ESEM), reliability, measurement invariance, IRT/DIF and network analysis. Results are available in the console and as Word or Excel reports.
Installation
Install the development version from GitHub:
install.packages("remotes") # Only needed once.
remotes::install_github("gmoncayoj/PsychoMatic")
For the published CRAN version, use install.packages("PsychoMatic").
Quick start
An ESEM analysis with three factors and geomin rotation:
library(PsychoMatic)
result <- esem_auto(
data = MY_DATA,
items = 2:13,
n_factors = 3,
rotation = "geomin",
ordered = FALSE
)
Replace MY_DATA with your data frame and 2:13 with your item columns.
This example treats items as continuous; use ordered = TRUE for ordinal items.
Set language = "esp" for Spanish output.
Psychometric networks with Word and Excel reports:
network <- network_auto(
data = MY_DATA,
items = 2:13,
seed = 2026,
report = TRUE,
format = c("word", "excel"),
file_name = "Network"
)
Reports are saved in your working directory. Optional dependencies are listed in the network guide.
Documentation
License and support
GPL version 3 or later. Copyright © 2026 José Gamarra-Moncayo. License notice · Report an issue.