GDINA (version 1.4.2)

Qval: Q-matrix validation

Description

Q-matrix validation for the G-DINA model based on de la Torre and Chiu (2016).

Usage

Qval(GDINA.obj, method = "PVAF", eps = 0.95, digits = 4)
# S3 method for Qval
extract(object, what = c("sug.Q", "varsigma", "PVAF", "eps",
  "Q"), ...)
# S3 method for Qval
summary(object, ...)

Arguments

GDINA.obj

An estimated model object of class GDINA

method

which Q-matrix validation method is used?

eps

cutoff value for PVAF. 0.95 is the default.

digits

How many decimal places in each number? The default is 4.

object

Qval objects for S3 methods

what

argument for S3 method extract indicating what to extract; It can be "sug.Q" for suggested Q-matrix, "Q" for original Q-matrix, "varsigma" for varsigma index, and "PVAF" for PVAF.

...

additional arguments

Value

An object of class Qval. Elements that can be extracted using extract method include:

sug.Q

suggested Q-matrix

Q

original Q-matrix

varsigma

varsigma index

PVAF

PVAF

Methods (by generic)

• extract: extract various elements from Qval objects
• summary: print summary information

References

de la Torre & Chiu. (2016). A General Method of Empirical Q-matrix Validation. Psychometrika, 81, 253-273. de la Torre, J., & Chiu, C.-Y. (2016). A General Method of Empirical Q-matrix Validation. Psychometrika. http://doi.org/10.1007/s11336-015-9467-8

See Also

GDINA, mesaplot

Examples

## Not run: ------------------------------------
# dat <- sim10GDINA$simdat
# Q <- sim10GDINA$simQ
# Q[10,] <- c(0,1,0)
# mod1 <- GDINA(dat = dat, Q = Q, model = "GDINA")
# out <- Qval(mod1,eps = 0.95)
# out
# #If many entries are modified, you may want to check
# #the PVAF plot using the function plotPVAF or
# #to change eps. eps = 0.9 or 0.8 seems another two
# #reasonable choices.
# extract(out,what = "PVAF")
# #See also:
# extract(out,what = "varsigma")
# extract(out,what = "sug.Q")
# 
# # Draw a mesa plot
# mesaplot(out,item=10,type="all",no.qvector=5)
## ---------------------------------------------