Description Usage Arguments Author(s) References See Also Examples
Calculates the values of statistical Z3 for items.
1 |
data |
a data frame or a matrix with the test. |
zita |
a list of estimations of the parameters of the items (discrimination,difficulty, guessing). |
patterns |
matrix of patterns response, the frequency of each pattern and the latent traits. |
SICS Research, National University of Colombia ammontenegrod@unal.edu.co
Fritz Drasgow, Michael V. Levine and Esther A. Williams (1985). Appropiateness measurement with polychotomous item response models and standarized indices.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | #Simulates a test and returns a list:
test <- simulateTest()
#the simulated data:
data <- test$test
#model:
mod <- irtpp(dataset = data,model = "3PL")
#latent trait:
zz <- parameter.matrix(mod$z)
p_mat <- mod$prob_mat
traits <- individual.traits(model="3PL",method = "EAP",dataset = data,itempars = zz,
probability_matrix=p_mat)
#Z3 PERSONFIT-Statistic
z3_itemf(data = data,zita = mod$z,patterns = traits)
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