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

Functionality for reliability estimates. For 'unidimensional' tests:
Coefficient alpha, 'Guttman's' lambda-2/-4/-6, the Greatest lower
bound and coefficient omega_u ('unidimensional') in a Bayesian and a frequentist version.
For multidimensional tests: omega_t (total) and omega_h (hierarchical).
The results include confidence and credible intervals, the
probability of a coefficient being larger than a cutoff,
and a check for the factor models, necessary for the omega coefficients.
The method for the Bayesian 'unidimensional' estimates, except for omega_u,
is sampling from the posterior inverse 'Wishart' for the
covariance matrix based measures (see 'Murphy', 2007,
<https://groups.seas.harvard.edu/courses/cs281/papers/murphy-2007.pdf>.
The Bayesian omegas (u, t, and h) are obtained by
'Gibbs' sampling from the conditional posterior distributions of
(1) the single factor model, (2) the second-order factor model, (3) the bi-factor model,
(4) the correlated factor model
('Lee', 2007, <doi:10.1002/9780470024737>).

Julius Pfadt

Bayesrel

Bayesian Reliability Estimation

Julius M. Pfadt

Don van den Bergh

Joris Goosen

cavalini function

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

Format

8-Item Questionnaire Data from Cavalini (1992) — cavalini

8-Item Questionnaire Data from Cavalini (1992)

cavalini: 8-Item Questionnaire Data from Cavalini (1992)

Description

Usage

Arguments

Format

References