reliability: Decision Theoretic Reliabilities and Optimal Weights

In JonasMoss/reliable: Reliability Coefficients and Factor Scores for the Linear Factor Model

Description

Calculate the reliability of a prediction in a linear factor model. The prediction is on the form S = AZ + Beps', where eps' is a new error and Z are latent variables.

Usage

reliability(object, type = "linear", A = 1, B = 0, iota = NULL)

Arguments

object	Either a lavaan object or a list containing the factor loadings and the residual error covariance matrix.
type	Choose '"linear"“ for the optimal linear weights (recommended) or '"sumscore'" for the optimal sumscore weights.
A	The matrix A in S = AZ + Beps.
B	The matrix B in S = AZ + Beps. Defaults to 0.
iota	If type is '"sumscore"' and iota is supplied, this iota is used instead of the optimal iota.

Value

A list containing the matrix of optimal weights, the R^2 reliability, the inflation rate reliability and ioata (if applicable.)

JonasMoss/reliable documentation built on Nov. 18, 2019, 5:34 a.m.