search for: infit

Displaying 7 results from an estimated 7 matches for "infit".

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2009 Nov 08
1
Summary methods
I've defined the following for objects of a class called jml summary.jml <- function(object, ...){ tab <- cbind(Estimate = coef(object), StdError = object$se, Infit = object$Infit, Outfit = object$Outfit) res <- list(call = object$call, coefficients = tab, N = nrow(object$Data), iter = object$Iterations) class(res) <- "summary.jml" res } print.summary.jml <- function(x, ...){ cat("Call:\n") print(x$call) cat(&...
2013 Mar 01
2
issue creating a subset
I'm performing item response theory with eRm packages I am excluding the persons that doesn't fit in the infit/outfit persons. for that I created a condition. then I have to create a new subset or matrix but with the condition. So: ORIGINAL matrix<-cbind(item1, item2, item3, item4) IF I PERFORM A head(matrix) item1 item2 item3 item4 3 2 3 1 3 1 2 4 THEN I...
2007 May 08
0
MiscPsycho Package 1.0
...cho to CRAN. MiscPsycho contains functions for miscellaneous psychometrics that may be useful for applied psychometricians. MML estimation already exists in the ltm package. Hence, a jml option is provided for users who prefer this method. The jml function gives back rasch difficulties and the same Infit and Outfit statistics as Winsteps. Also, jml is known to return biased parameter estimates. So, a correction for jml bias is provided for as an optional argument in the function. Currently, the package includes the following: 1) jml() a function for joint maximum likelihood estimation of the Ras...
2008 Jan 28
0
eRm: new version 0.9-6
Dear useRs, new and updated features in eRm 0.9-6 for extended Rasch modeling: - infit and outfit mean-square statistics added to functions personfit() and itemfit(). - new method: plotPImap() plots a person-item map (cf. Bond & Fox, 2007), i.e., a map of locations of item (and threshold) parameters, and the distribution of person parameters. - new options in plotGOF(): '...
2008 Jan 28
0
eRm: new version 0.9-6
Dear useRs, new and updated features in eRm 0.9-6 for extended Rasch modeling: - infit and outfit mean-square statistics added to functions personfit() and itemfit(). - new method: plotPImap() plots a person-item map (cf. Bond & Fox, 2007), i.e., a map of locations of item (and threshold) parameters, and the distribution of person parameters. - new options in plotGOF(): '...
2007 May 08
0
MiscPsycho Package 1.0
...cho to CRAN. MiscPsycho contains functions for miscellaneous psychometrics that may be useful for applied psychometricians. MML estimation already exists in the ltm package. Hence, a jml option is provided for users who prefer this method. The jml function gives back rasch difficulties and the same Infit and Outfit statistics as Winsteps. Also, jml is known to return biased parameter estimates. So, a correction for jml bias is provided for as an optional argument in the function. Currently, the package includes the following: 1) jml() a function for joint maximum likelihood estimation of the Ras...
2012 Nov 08
0
mirt vs. eRm vs. ltm vs. winsteps
...","x3","x4","x5","x6","x7") ltm$loc<-rowSums(ltm)/3 ltm<-round(ltm[order(ltm$loc,decreasing=TRUE),],2) ltm #I get the following order of item parameters:x2,x3,x4,x7,x1,x5,x6 And this is what I got using winsteps.          |           |   INFIT  |  OUTFIT  |  item|   loc   |MNSQ  ZSTD|MNSQ  ZSTD| ------|---------+----------+----------+  x7   |   .49   |     .62  -1.4|1.05    .3|  x2   |   .30       |1.02    .2|1.27    .9|  x3   |   .24   |    1.14    .6|1.05    .3|  x4   |   .00   |    .88   -.4| .80   -.6|  x1   |  -.11       | .91   -.3...