In NilsPetras/IPV: Item Pool Visualization

knitr::opts_chunk$set(
  collapse = TRUE,
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  fig.path = "man/figures/README-",
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IPV

The aim of IPV is to handily create item pool visualizations, as introduced in: Dantlgraber, M., Stieger, S., & Reips, U. D. (2019). Introducing Item Pool Visualization: A method for investigation of concepts in self-reports and psychometric tests. Methodological Innovations, 12(3), 2059799119884283.

Installation

You can install the released version of IPV from CRAN by calling:

install.packages("IPV")

And the development version from GitHub by calling:

# install.packages("devtools")
devtools::install_github("NilsPetras/IPV")

Usage

This is an example how charts can be created:

library(IPV)

# Here, a toy example provided in the package is used.
# ?HEXACO

# estimate the underlying model from (clean) raw data
x <- ipv_est(HEXACO[ ,c(2:41, 122:161)], "HA")

# create a nested chart (one of three available chart types)
nested_chart(x$est)

# the next step would be to customize the appearance

For further introduction, please check out the vignette.

browseVignettes("IPV")

Citation

When using item pool visualization, please cite:

Dantlgraber, M., Stieger, S., & Reips, U. D. (2019). Introducing Item Pool Visualization: A method for investigation of concepts in self-reports and psychometric tests. Methodological Innovations, 12(3), 2059799119884283.

NilsPetras/IPV documentation built on July 19, 2023, 9:12 p.m.