psychsyn_critval

A function intended to help finding adequate critical values for <code>psychsyn</code> and <code>psychant</code>.
Takes a matrix of item responses and returns a data frame giving the correlations of all item pairs ordered by the magnitude of the correlation.

When taking online surveys, participants sometimes respond to items
without regard to their content. These types of responses, referred to as
careless or insufficient effort responding, constitute significant problems
for data quality, leading to distortions in data analysis and hypothesis
testing, such as spurious correlations. The 'R' package 'careless' provides
solutions designed to detect such careless / insufficient effort responses
by allowing easy calculation of indices proposed in the literature. It
currently supports the calculation of longstring, even-odd consistency,
psychometric synonyms/antonyms, Mahalanobis distance, and intra-individual
response variability (also termed inter-item standard deviation).
For a review of these methods, see Curran (2016) <doi:10.1016/j.jesp.2015.07.006>.

Richard Yentes

careless

Procedures for Computing Indices of Careless Responding

Francisco Wilhelm

psychsyn_critval function

<dl><dt>x</dt>
<dd>a matrix of item responses.</dd>
<dt>anto</dt>
<dd>ordered by the largest positive correlation, or, if <code>anto = TRUE</code>, the largest negative correlation.</dd></dl>

Arguments

Francisco Wilhelm <a href="/link/franciscowilhelm%40gmail.com?package=careless&version=1.2.2" data-mini-rdoc="careless::franciscowilhelm@gmail.com">franciscowilhelm@gmail.com</a>

Author

Compute the correlations between all possible item pairs and order them by the magnitude of the correlation — psychsyn_critval

<dl>

<dt>x</dt>
<dd>a matrix of item responses.</dd>


<dt>anto</dt>
<dd>ordered by the largest positive correlation, or, if <code>anto = TRUE</code>, the largest negative correlation.</dd>

</dl>

Francisco Wilhelm <a href='mailto:franciscowilhelm@gmail.com'>franciscowilhelm@gmail.com</a>

psychsyn_critval: Compute the correlations between all possible item pairs and order them by the magnitude of the correlation

Description

Usage

Arguments

Author

See Also

Examples