Just for saving the time see my below notes
1) M2 does not work for latent regression model
M2(LRM.r.p.2pl.out, na.rm = TRUE,calcNull = TRUE)
Error in M2internal(obj, calcNull = FALSE, quadpts = quadpts, theta_lim = theta_lim, :
Latent regression models not yet supported
2) empirical reliability does not work for latent regression model. there is no any 'empirical reliability in the output
LRM.r.p.score <- fscores(LRM.r.p.2pl.out, method = "EAP", full.scores = TRUE,
full.scores.SE=TRUE,returnER = T)
head(LRM.r.p.score)
F1 SE_F1
[1,] -1.3369287 0.5580695
[2,] -0.8654669 0.5962059
[3,] -1.1013687 0.5569815
[4,] -1.2882071 0.5868284
[5,] -0.5390334 0.5948275
[6,] -0.2679891 0.6156024
3) M2 doesn't work for two dimensional model
> M2(cfa.2d.out, na.rm = TRUE,calcNull = TRUE)
Error : The following items have only one response category and cannot be estimated: V12 V13 V14 V15 V16 V17 V18 V19 V20 V21 V22 V23 V24 V25 V26 V27 V28 V29 V30 V31 V32 V33 V34 V35 V36
In addition: Warning message:
In cov2cor(cross/N - outer(colMeans(dat), colMeans(dat))) :
diag(.) had 0 or NA entries; non-finite result is doubtful
Error: Null model did not converge or is not supported
> M2(cfa.2d.out, na.rm = TRUE,calcNull = F)
M2 df p RMSEA RMSEA_5 RMSEA_95 SRMSR
stats 5302.729 1175 0 0.04427592 0.0430561 0.04547841 NaN
Warning message:
In cov2cor(cross/N - outer(colMeans(dat), colMeans(dat))) :
diag(.) had 0 or NA entries; non-finite result is doubtful
4) can i use 'anova' function for compare the fit of different models, just because their data differ based on different treatment to NA?Any help?
Hi Phil
Can I use M2 for camparign the fit of 2pl, latent regression and multidimensional model? If not; which function of mirt can handle this problem (with exception of anova)? Any help?
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