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lsasim (version 2.1.6)

Functions to Facilitate the Simulation of Large Scale Assessment Data

Description

Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design. The theoretical foundation can be found on Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018) .

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Version

Install

install.packages('lsasim')

Monthly Downloads

252

Version

2.1.6

License

GPL-3

Maintainer

Waldir Leoncio

Last Published

January 22nd, 2025

Functions in lsasim (2.1.6)

calc_var_between

Calculate variance between classes

check_valid_structure

Check if List is Valid

cluster_gen_separate

Generate cluster samples with individual questionnaires

Calculate the total variance

Generate cluster sample

Generation of random correlation matrix

Prints welcome message on package load

label_respondents

Label respondents

Simulate item responses from an item response model

draw_cluster_structure

Draw Cluster Structure

Generation of item parameters from uniform distributions

Generation of covariance matrices

Generate replicates of a dataset using Jackknife

Generate analytical covariance matrix

customize_summary

Customize Summary

cluster_message

Print messages about clusters

convert_vector_to_list

Convert Vector to Expanded List

Randomly generate the quantity of background variables

cluster_gen_together

Generate cluster samples with lowest-level questionnaires

pisa2012_math_item

Item parameter estimates for 2012 PISA mathematics assessment

Generates cat_prop for questionnaire_gen

gen_X_W_cluster

Generate n_X and n_W for clusters

Transform regular vector into selection vector

sample_within_range

Sample from range

pisa2012_math_booklet

PISA 2012 mathematics item block - test booklet indicator matrix

recalc_final_weights

Recalculate final weights

Split variables in cat_prop

Defines vector as range

pisa2012_math_block

PISA 2012 mathematics item - item block indicator matrix

pisa2012_q_cormat

Correlation matrix from the PISA 2012 background questionnaire

questionnaire_gen

Generation of ordinal and continuous variables

pt_bis_conversion

Analytical point-biserial conversion

summary.lsasimcluster

Summarizes clusters

Generate latent regression covariance matrix

Intraclass correlation

Sampling variance of the mean for replications

Generation of item response data using a rotated block design

Generation of random cumulative proportions

Dataset summary statistics

Print the ANOVA table

Generate data from a Zero-truncated Poisson

whitelist_message

Whitelist message

Sample from population structure

Setup full YXW covariance matrix

Randomly generate a matrix of factor loadings

lsasim: A package for simulating large scale assessment data

pisa2012_q_marginal

Marginal proportions from the PISA 2012 background questionnaire

Pluralize words

questionnaire_gen_family

Generation of ordinal and continuous variables

questionnaire_gen_polychoric

Generation of ordinal and continuous variables

validate_questionnaire_gen

Wrapper-functions for check_condition

weight_responses

Weight responses

Generate replicates of a dataset using Balanced Repeated Replication

calc_replicate_weights

Calculate replicate weights and summary statistics

Generate regression coefficients

Calculate Standard Error of Intraclass Correlation

anova.lsasimcluster

Generate an ANOVA table for LSASIM clusters

attribute_cluster_labels

Attribute Labels in Hierarchical Structure

Assignment of test items to blocks

Assignment of test booklets to test takers

Assignment of item blocks to test booklets

calc_var_within

Calculate variance within classes

check_condition

Check if an error condition is satisfied

check_ignored_parameters

Checks if provided parameters are ignored

check_n_N_class

Check class of n or N