intsvy: International Assessment Data Manager

intsvy is an R package for working with international assessment data from PISA (Programme for International Student Assessment), TIMSS (The Trends in International Mathematics and Science Study), PIRLS (Progress in International Reading Literacy Study), PIAAC (Programme for the International Assessment of Adult Competencies) and the International Computer and Information Literacy Study (ICILS). The package includes functions for importing data, performing data analysis, and visualising results. Data analysis functions take into account the complex sample design (with replicate weights) and rotated test forms (with plausible achievement values) in the calculation of point estimates and standard errors of means, standard deviations, regression coefficients, correlation coefficients, and frequency tables. Visualization tools present data aggregates in standardised graphical form.

How to install and load 'intsvy' into R?

Package intsvy is available from CRAN. It can be can be installed and loaded into R, as follows:

> install.packages('intsvy')

> library('intsvy')

This is the recommended installation method. Alternatively, useRs may install and use the development version of 'intsvy' available in GitHub at their own risk:

> install.packages("devtools")

> library(devtools)

> install_github("eldafani/intsvy")

How to use 'intsvy' for the analysis of international assessment data?

Documentation for R intsvy functions can be accessed via help(package='intsvy'). More resources to learn how to use 'intsvy' are provided below.

The 'intsvy' tutorial

The intsvy tutorial can be downloaded from here.

Video tutorials

Video 1: Installing R 'intsvy'

Video 2: Directory paths and operating systems

Video 3: Printing data labels

Video 4: Importing data

Video 5: Calculating average student performance

Video 6: Frequency tables

Video 7: Proficiency levels

Video 8: Regression analysis

Examples with international assessment data

The following links offer examples of how to conduct analysis with intsvy:

Examples with PISA data

Examples with PIRLS data

Examples with TIMSS data

Examples with PIAAC data