Description Usage Arguments Details Value References Examples

View source: R/eqMI.projection.R

Perform projection method for testing the equality of latent means without requiring the equality of cross-group intercepts to hold.

1 |

`...` |
The same arguments as for any lavaan model. See Users must explicitly specify the name of the input elements for this function to catch. For example, specify 'data = HolzingerSwineford' instead just 'HolzingerSwineford'. |

Perform projection method for testing the equality of two latent means without requiring the cross-group intercepts to be the same. A validity index is provided as the proportion of the differences in manifest variables intercepts explained by latent mean differences as a gauge of the quality of measurements.

A list is returned with:

`fit.metric`

test of metric invariance (factor loadings). This is a prerequisite for testing equality of latent means.

`mvdif.test`

t tests of the cross-group sample means for each variable.

`chi.stat`

Three chi-square tests for intercepts, common factors, and specific factors.

`chi.stat`

will be needed for equivalence testing.`common.test`

t tests of common factors for each variable.

`specific.test`

t tests of specific factors for each variable.

`latent.test`

t tests of latent means

`V.index`

validity index

`Pmat`

projection matrix of intercepts into the space of common factors

`Qmat`

projection matrix of intercepts into the space of specific factors

Yuan, K. H., & Chan, W. (2016). Measurement invariance via multigroup SEM: Issues and solutions with chi-square-difference tests. Psychological methods, 21(3), 405-426.

1 2 3 4 5 6 7 8 9 | ```
data(HolzingerSwineford)
semmodel<-'
L1 =~ V1 + V2 + V3
L2 =~ V4 + V5 + V6
L3 =~ V7 + V8
L4 =~ V9 + V10 + V11
'
run.pj <- eqMI.projection(model = semmodel, data = HolzingerSwineford,
group = "school", meanstructure = TRUE)
``` |

gabriellajg/equaltestMI documentation built on May 27, 2018, 9:34 p.m.

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