cavalini

<p>A dataset consisting of eight item questionnaire data. It's likert scaled from 0-3.
It is data measuring how annoyed people were by malodors</p>

datasets

So far, it provides the most common single test reliability estimates, being:
Coefficient Alpha, Guttman's lambda-2/-4/-6, greatest lower bound and Mcdonald's Omega.
The Bayesian estimates are provided with credible intervals.
The method for the Bayesian estimates, except for omega, is sampling from the posterior inverse Wishart for the covariance matrix based measures.
See Murphy (2007) <https://www.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>.
Gibbs Sampling from the joint conditional distributions of a single factor model in the case of omega.
See Lee (2007, ISBN:978-0-470-02424-9).
Methods for the glb are from Moltner and Revelle (2018) <https://www.rdocumentation.org/packages/psych/versions/1.8.10/topics/glb.algebraic>;
lambda-4 is from Benton (2015) <doi:10.1007/978-3-319-07503-7_19>;
the principal factor analysis is from Schlegel (2017) <https://www.r-bloggers.com/iterated-principal-factor-method-of-factor-analysis-with-r/>;
and the analytic alpha interval is from Bonnett and Wright (2014) <doi:10.1002/job.1960>.

Julius Pfadt

Bayesrel

Bayesian Reliability Estimation

cavalini function

<p>The format is a 8-column datamatrix containing 828 observations</p>

cavalini: 8-Item Questionnaire Data from Cavalini

Description

Usage

Arguments

Format

References