[R] Error in analysis of Rasch using eRm package.

2023-08-21 Thread nor azila
Dear R users,

I am using eRm package in analysing my polytomous data as below

Respondents = 277 people
Item = 30 questions

The data consists of 0,1,2,3 responses/answers.

I'm having a problem in writing coding as below because I do not know what
I should replace in each of the arguments.

data.frame(..., row.names = NULL, check.rows = FALSE,
   check.names = TRUE, fix.empty.names = TRUE,
   stringsAsFactors = FALSE)



Thank you very much for any help given.

Azi.

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[R] Error in analysis of arguments of Rasch

2023-09-04 Thread nor azila
Dear R users,

I am using ltm and eRm package in analysing my polytomous data for fitting
item response theory and Rasch model, respectively.

I'm having a problem with the error as below;

> library(eRm)
> library(ltm)
> HT <- read.csv("C:/Dropbox/Analysis R_2023/HT.csv")
> response_columns <- HT[, 1:ncol(HT)]
> response_matrix <- as.matrix(response_columns)
> irt_model <- grm(response_matrix)
> rasch_model <- Rasch(response_matrix)
Error in Rasch(response_matrix) : could not find function "Rasch"

Then I changed the arguments of Rasch to RM, but it also turns out an error
as below;

> rasch_model <- RM(response_matrix)
Error in datcheck(X, W, mpoints, groupvec, model) :
  Dichotomous data matrix required!

Is there any problem with the arguments or any other problem with my coding
since errors keep occurring when I want to run Rasch.

Thank you very much for any help given.

Azi.

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[R] Error in finding factor scores/ person ability in item response theory

2023-09-07 Thread nor azila
Dear R users,

I have encountered some error in finding factor scores/ person ability in
item response theory.
I tried a few times using ltm and mirt package but it still gave me error.

#TRY #1 - Fit GPCM model using ltm



> irt_model <- gpcm(response_matrix)

> irt_person_abilities <- fscores(irt_model)

*Error in object@Model : *

*  no applicable method for `@` applied to an object of class "gpcm"*





#TRY #2 - Fit  GPCM model using ltm



> irt_model <- gpcm(data = HT, constraint = "1PL")

> irt_person_abilities <- factor.scores(irt_model)

*Error in factor.scores(irt_model) : *

*  argument "f" is missing, with no default*





#TRY #3 - Fit GPCM model using mirt



> irt_model <- mirt(data = HT, model = "gpcm", itemtype = "graded")

*Error in model$x[i, "Type"] : subscript out of bounds*

*In addition: Warning message:*

*In cbind(model$x, OptionalGroups = "") :*

*  number of rows of result is not a multiple of vector length (arg 2)*

> irt_person_abilities_dim1 <- fscores(gpcm_model, method = "EAP", dims = 1)

*Error in object@Model : *

*  no applicable method for `@` applied to an object of class "gpcm"*


I am not sure which package is suitable with my data (Polytomous - Partial
Credit Model) and why it always turns out to be an error.

Thank you very much for any help given.

Azila.

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