raw_iipsc

<p>A small example dataset containing raw item responses on the Inventory of
Interpersonal Problems, Short Circumplex (IIP-SC). This data set is useful
for testing functions that operate on item-level data.</p>

datasets

Circumplex models, which organize constructs in a circle around two
underlying dimensions, are popular for studying interpersonal functioning,
mood/affect, and vocational preferences/environments. This package provides
tools for analyzing and visualizing circular data, including scoring
functions for relevant instruments and a generalization of the bootstrapped
structural summary method from Zimmermann & Wright (2017)
<doi:10.1177/1073191115621795> and functions for creating publication-ready
tables and figures from the results.

Jeffrey Girard

circumplex

Analysis and Visualization of Circular Data

Johannes Zimmermann

Aidan Wright

raw_iipsc function

<p>A data frame with 10 observations and 32 variables.</p>

raw_iipsc: Raw item responses on real circumplex scales

Description

Usage

Arguments

Format