evaluateItemFit: assessment of fit indices of the calibrated model

In seonghobae/kaefa: kwangwoon automated exploratory factor analysis

assessment of fit indices of the calibrated model

Description

assessment of fit indices of the calibrated model

Usage

evaluateItemFit(mirtModel, RemoteClusters = NULL, rotate = "bifactorQ",
  PV_Q1 = T, S_X2 = T)

Arguments

mirtModel	insert estimated mirt::mirt or mirt::mixedmirt model.
RemoteClusters	insert google computing engine virtual machine information.
rotate	set the rotate critera if mirt model is exploratory model. default is bifactorQ
PV_Q1	Do you want to get PV_Q1 (Chalmers & Ng, 2017) if can get it? default is TRUE.
S_X2	Do you want to get S_X2 if can get it? default is TRUE.

Value

return item fit estimates

Examples

## Not run: 
testModel1 <- engineAEFA(mirt::Science)
testItemFit1 <- evaluateItemFit(testModel1)

## End(Not run)

seonghobae/kaefa documentation built on May 8, 2022, 3:31 p.m.