lsasim: an R package for simulating large-scale assessment data

Author:

Matta Tyler H.,Rutkowski Leslie,Rutkowski David,Liaw Yuan-Ling

Funder

Research Council of Norway

Publisher

Springer Science and Business Media LLC

Subject

Education

Reference28 articles.

1. Adams, R. J., Lietz, P., & Berezner, A. (2013). On the use of rotated context questionnaires in conjunction with multilevel item response models. Large-scale Assessments in Education, 1(1), 5.

2. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing 2014. AERA.

3. Barbiero, A., & Ferrari, P. A. (2015). GenOrd: Simulation of discrete random variables with given correlation matrix and marginal distributions [Computer software manual]. Retrieved from https://CRAN.R-project.org/package=GenOrd (R package version 1.4.0)

4. Beaton, A. E., & Johnson, E. G. (1992). Overview of the scaling methodology used in the national assessment. Journal of Educational Measurement, 29(2), 163–175.

5. Chalmers, R. P. (2012). mirt: A multidimensional item response theory package for the R environment. Journal of Statistical Software, 48(6), 1–29. Retrieved from http://www.jstatsoft.org/v48/i06/

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RALSA: the R analyzer for large-scale assessments;Large-scale Assessments in Education;2021-10-04

2. lsasim: Functions to Facilitate the Simulation of Large Scale Assessment Data;CRAN: Contributed Packages;2017-02-23

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