cc_data

A dataset containing the response processes and binary response outcomes of 16763 respondents.

datasets

General tools for exploratory process data analysis. Process data refers to the data describing
participants' problem solving processes in computer-based assessments. It is often recorded in computer
log files. This package provides two action sequence generators and implements two automatic feature extraction methods that compress the information
stored in process data, which often has a nonstandard format, into standard numerical vectors. This package
also provides recurrent neural network based models that relate response processes with other binary or
scale variables of interest. The functions that involve training and evaluating neural networks are wrappers
of functions in 'keras'.

Xueying Tang

ProcData

Process Data Analysis

Susu Zhang

Zhi Wang

Jingchen Liu

Zhiliang Ying

cc_data function

A list with two elements.<dl class="dl-horizontal">
 <dt>seqs</dt><dd>An object of class <code>"<a rd-options="" href="/link/proc?package=ProcData&version=0.2.5" data-mini-rdoc="ProcData::proc">proc</a>"</code> containing the action sequences and 
 the time sequences of the respondents.</dd>
 <dt>responses</dt><dd>Binary responses of 16763 respondents. The order of the respondents
 matches that in <code>seqs</code>.</dd>
</dl>

Format

Data of item CP025Q01 (climate control item 1) in PISA 2012 — cc_data

A list with two elements.<dl class='dl-horizontal'>
 <dt>seqs</dt><dd>An object of class <code>"<a rd-options='' href='proc'>proc</a>"</code> containing the action sequences and 
 the time sequences of the respondents.</dd>
 <dt>responses</dt><dd>Binary responses of 16763 respondents. The order of the respondents
 matches that in <code>seqs</code>.</dd>
</dl>

cc_data: Data of item CP025Q01 (climate control item 1) in PISA 2012

Description

Usage

Arguments

Format