lsasim (version 2.1.4)

booklet_sample: Assignment of test booklets to test takers

Description

booklet_sample randomly assigns test booklets to test takers.

Usage

booklet_sample(
  n_subj,
  book_item_design,
  book_prob = NULL,
  resample = FALSE,
  e = 0.1,
  iter = 20
)

Arguments

n_subj

an integer, the number of subjects (test takers).

book_item_design

a data frame containing the items that belong to each booklet with booklets as columns and booklet item numbers as rows. See 'Details'.

book_prob

a vector of probability weights for obtaining the booklets being sampled. The default equally weights all books.

resample

logical indicating if booklets should be re-sampled to minimize differences. Can only be used when book_prob = NULL.

e

a number between 0 and 1 exclusive, re-sampling stopping criteria, the difference between the most sampled and least sampled booklets.

iter

an integer defining the number of iterations to reach e.

Details

If using booklet_sample in tandem with booklet_design, book_item_design is the the first element of the returned list of block_design.

Examples

it_bk <- matrix(c(1, 2, 1, 4, 5, 4, 7, 8, 7, 10, 3, 10, 2, 6, 3, 5, 9, 6, 8, 0, 9), 
           ncol = 3, byrow = TRUE)
booklet_sample(n_subj = 10, book_item_design = it_bk, book_prob = c(.2, .5, .3))