generate_item_responses_sqn: Internals: simulating responding to item in a 'sequential'...
In rstyles: Generating Simulated Data Mimicking Response Styles to Survey Questions

Description Usage Arguments Value Limitations See Also

Function generates responses 'sequentially', i.e. using IRTree approach. It goes through consecutive columns of a scoring matrix, calling generate_item_responeses_gpcm to get responses at a given node of a tree and the recursively calls itself on subsets of observations with a given response with reduced scoring matrix.

generate_item_responses_sqn(
  theta,
  scoringMatrix,
  slopes,
  intercepts,
  editResponse = NULL,
  decidingOnPreviousResponse = FALSE
)

`theta`	matrix of latent traits' values
`scoringMatrix`	matrix describing scoring patterns on each latent trait
`slopes`	vector of slope parameters of each trait
`intercepts`	intercept parameters
`editResponse`	optional function returning scoring matrix that should be used instead that provided by `scoringMatrix`; this should be function accepting two arguments: `response` - generated response (by the model described with the first column of the `scoringMatrix`) that is supposed to be edited and `scoringMatrix` - current scoring matrix (to be replaced)
`decidingOnPreviousResponse`	logical value indicating whether first column of provided scoring matrix describes making decision whether to respond on the basis of responses to previous items or not (in this first case negative choice shouldn't reduce number of rows in a response matrix)

vector of responses on item

Because function internally relies on calling generate_item_responeses_gpcm, no normal ogive models can be used (this may be changed in the future versions).

link{generate_test_responses}, generate_item_responses_sml, generate_item_responeses_gpcm

rstyles documentation built on July 23, 2021, 5:07 p.m.