This article provides an overview of the R package lsasim, designed to facilitate the generation of data that mimics a large scale assessment context. The package features functions for simulating achievement data according to a number of common IRT models with known parameters. A clear advantage of lsasim over other simulation software is that the achievement data, in the form of item responses, can arise from multiple-matrix sampled test designs. Furthermore, lsasim offers the possibility of simulating data that adhere to general properties found in the background questionnaire (mostly ordinal, correlated variables that are also related to varying degrees with some latent trait). Although the background questionnaire data can be linked to the test responses, all aspects of lsasim can function independently, affording researchers a high degree of flexibility in terms of possible research questions and the part of an assessment that is of most interest.

中文翻译：

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lsasim：R包，用于模拟大规模评估数据

本文提供了R软件包lsasim的概述，该软件包旨在促进模拟大规模评估环境的数据的生成。该软件包具有用于根据具有已知参数的许多常见IRT模型来模拟成就数据的功能。lsasim相对于其他仿真软件的明显优势是，以项目响应的形式出现的成就数据可以来自多个矩阵采样的测试设计。此外，lsasim还提供了模拟数据的可能性，这些数据符合在背景调查表中发现的一般属性（大多数是顺序相关变量，也与某些潜在性状的不同程度相关）。尽管背景调查表数据可以与测试响应相关联，但是lsasim的各个方面都可以独立发挥作用，