Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Daniel H. Caro, Przemysław Biecek
Title: intsvy: An R Package for Analyzing International Large-Scale Assessment Data
Abstract: This paper introduces intsvy, an R package for working with international assessment data (e.g., PISA, TIMSS, PIRLS). The package includes functions for importing data, performing data analysis, and visualizing results. The paper describes the underlying methodology and provides real data examples. Tools for importing data allow useRs to select variables from student, home, school, and teacher survey instruments as well as for specific countries. Data analysis functions take into account the complex sample design (with replicate weights) and rotated test forms (with plausible values of achievement scores) 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 standardized graphical form.

Page views:: 3837. Submitted: 2015-01-19. Published: 2017-11-09.
Paper: intsvy: An R Package for Analyzing International Large-Scale Assessment Data     Download PDF (Downloads: 4179)
Supplements:
intsvy_2.1.tar.gz: R source package Download (Downloads: 215; 48KB)
v81i07.R: R replication code Download (Downloads: 246; 16KB)
DOI: 10.18637/jss.v081.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.