dataset {autoRasch}

The Simulated Dataset

Description

The artificial datasets used for simulation on various cases. The datasets consist of:

• inhomogenous_rasch_dataset

• inhomogenous_dataset

• uncorrel_rasch_multidim

• uncorrel_multidim

• correl02_multidim

• correl03_multidim

• correl04_multidim

• correl05_multidim

• correl06_multidim

• withinItem_multidim

• testlets_dataset

Details

inhomogenous_rasch_dataset is an artificial dataset of dichotomous responses which simulates three subscales with different predictability level (discrimination parameters). This dataset is generated by

inhomogenous_rasch_dataset <- generate_data(responseType = "discriminate", ncat = 2, alpha = c(0.04,0.045,0.05,0.055,0.06,0.065,0.2,0.25,0.3,0.35,0.4,0.45,2.6,2.65,2.7,2.75,2.8,2.85,2.9))

inhomogenous_dataset is an artificial dataset which simulates three subscales with different predictability level (discrimination parameters). This dataset is generated by

inhomogenous_dataset <- generate_data(responseType = "discriminate", alpha = c(0.04,0.045,0.05,0.055,0.06,0.065,0.2,0.25,0.3,0.35,0.4,0.45,2.6,2.65,2.7,2.75,2.8,2.85,2.9))

uncorrel_rasch_multidim is an artificial dataset of dichotomous responses which simulates three uncorrelated subscales from different dimensions. This dataset is generated by

uncorrel_rasch_multidim <- generate_data(responseType = "multidim.nocorrel", ncat = 2)

uncorrel_multidim is an artificial dataset which simulates three uncorrelated subscales from different dimensions. This dataset is generated by

uncorrel_multidim <- generate_data(responseType = "multidim.nocorrel")

correl02_multidim is an artificial dataset which simulates two subscales from different dimensions that having correlation of 0.2. This dataset is generated by

correl02_multidim <- generate_data(responseType = "multidim.withcorrel", corLevel = 0.2)

Similarly, correl03_multidim, correl04_multidim, correl05_multidim, and correl06_multidim are artificial datasets which consist of two correlated subscales with correlation of 0.3, 0.4, 0.5, and 0.6, respectively.

withinItem_multidim is an artificial dataset which consist of three subscales (dimensions) with some of items relate to more than one subscale (dimension). This dataset is generated by

withinItem_multidim <- generate_data(responseType = "multidim.within", ndim = 3, dim.members = list(c(1:6,13),c(3,7:12),c(5,13:18)))

testlets_dataset is an artificial dataset which consist of two subscales with some of items relate to more than one subscale (dimension). This dataset is generated by

testlets_dataset <- generate_data(responseType = "testlets", ndim = 2, sdlambda = c(0,4))

See Also

pcm, pcm_dif, gpcm, gpcm_dif

Examples

  #res <- pcm(poly_inh_dset)
  #res
  #summary(res)

  #pcmdif_res <- pcm_dif(polydif_inh_dset, groups_map = c(rep(1,245),rep(0,245)))
  #fit_res <- fitStats(pcmdif_res)
  #summary(fit_res)
  #plot(fit_res, plotx = "gamma", ploty = "outfit")