Comments (3)
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I have emailed you the information you requested.
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I tried several argument value combinations and it seems that sirt::rasch.jml()
mimics WinSteps with the argument method="MLE"
(leading to a maximum absolute difference of .003). This means that WinSteps uses maximum likelihood estimates (MLE) as person parameter estimates during estimation. By default, TAM::tam.jml()
and sirt::rasch.jml()
use weighted likelihood estimates (WLE).
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Related Issues (20)
- MCMC for 2-factor MIRT/Ising HOT 1
- issues with multidimensional rasch.mirtlc and "MLC2" HOT 1
- Documentation around ccov.np HOT 5
- Rasch infit mnsq error?
- DETECT outcomes are inconsistent with the original DETECT software HOT 5
- DETECT Exploratory analysis HOT 2
- DETECT explaratory procedure `nclusters` argument HOT 7
- lavaan2mirt unexpectedly estimates a covariance matrix
- availability of `regpolca` HOT 1
- bug: cfa_meas_inv() returns incorrect mod_pi lavaan-object (not so for mod_mi) HOT 1
- using btm function with eps = 0 returns error HOT 4
- Calculations of scores - Example 2 - conf.detect() HOT 2
- estimating error in function pgenlogis HOT 7
- comparing rasch.jml to winsteps HOT 1
- gamma.testlet HOT 1
- rasch.jml. itemdiff.correction incorrect when using constraints HOT 1
- modifying mcmc.3pno.testlet to make it 3pl model HOT 1
- lsem.estimate(): Error on missing data in moderator HOT 3
- TIBBLES ARE NO DATA FRAMES | lsem.estimate(): error when input is tibble data frame HOT 12
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