ENAplot

datasets

ENA (Shaffer, D. W. (2017) Quantitative Ethnography. ISBN: 0578191687) is a method used to identify meaningful and quantifiable patterns in discourse or reasoning. ENA moves beyond the traditional frequency-based assessments by examining the structure of the co-occurrence, or connections in coded data. Moreover, compared to other methodological approaches, ENA has the novelty of (1) modeling whole networks of connections and (2) affording both quantitative and qualitative comparisons between different network models. Shaffer, D.W., Collier, W., & Ruis, A.R. (2016) <doi:10.18608/jla.2016.33.3>.

Cody L Marquart

rENA

Epistemic Network Analysis

Zachari Swiecki

Wesley Collier

Brendan Eagan

Roman Woodward

David Williamson Shaffer

ENAplot function

An object of class <code>R6ClassGenerator</code> of length 24.

Format

<dl class="dl-horizontal">
<dt><code>enaset</code></dt><dd>- The <code><a rd-options="" href="/link/ENAset?package=rENA&version=0.1.3" data-mini-rdoc="rENA::ENAset">ENAset</a></code> object from which the ENAplot was constructed</dd></dl><dt><code>plot</code></dt><dd>- The plotly object used for data visualization</dd>

Fields

ENAset R6class — ENAplot

ENAset R6class

State of Data and AI Literacy Report 2025

ENAplot: ENAset R6class

Description

Usage

Arguments

Format

Fields