lsasim: lsasim: A package for simulating large scale assessment data

In lsasim: Functions to Facilitate the Simulation of Large Scale Assessment Data

lsasim: A package for simulating large scale assessment data

Description

lsasim simulates data that mimics large-scale assessments (LSAs), including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design

Functions to Facilitate the Simulation of Large Scale Assessment Data

Core functions

• block_design Assignment of test items to blocks.

• booklet_design Assignment of item blocks to test booklets.

• booklet_sample Assignment of test booklets to test takers.

• item_gen Generation of random correlation matrix.

• proportion_gen Generation of random cumulative proportions.

• questionnaire_gen Generation of ordinal and continuous variables.

• response_gen Generation of item response data using a rotated block design.

• cluster_gen Generation of background questionnaires from a cluster sampling scheme.

Useful ancillary functions

• irt_gen Generate item responses from an IRT model. Used by response_gen.

• beta_gen Calculates analytical and numeric regression coefficients for the background questionnaire responses as functions of the latent variable. Used by questionnaire_gen

Note

This package contains vignettes. If you are installing lsasim from GitHub, remember to use 'build_vignettes=TRUE' in your 'remotes::install_github()' call. Afterwards, you can browse the vignettes by issuing 'browseVignettes("lsasim")' in your R terminal.

Author(s)

Maintainer: Waldir Leoncio [e-mail]

Authors:

• Tyler Matta [e-mail]

• Leslie Rutkowski [e-mail]

• David Rutkowski [e-mail]

• Yuan-Ling Linda Liaw [e-mail]

Other contributors:

• Kondwani Kajera Mughogho [e-mail] [contributor]

• Sinan Yavuz [contributor]

• Paul Bailey [contributor]

See Also

Useful links:

• Report bugs at https://github.com/tmatta/lsasim/issues

lsasim documentation built on Aug. 22, 2023, 5:09 p.m.