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intsvy: An R Package for Analyzing International Large-Scale Assessment Data

Authors :
Daniel H. Caro
Przemysław Biecek
Source :
Journal of Statistical Software, Vol 81, Iss 1, Pp 1-44 (2017)
Publication Year :
2017
Publisher :
Foundation for Open Access Statistics, 2017.

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.

Details

Language :
English
ISSN :
15487660
Volume :
81
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Statistical Software
Publication Type :
Academic Journal
Accession number :
edsdoj.567345f544244915b72e5fe620b87d67
Document Type :
article
Full Text :
https://doi.org/10.18637/jss.v081.i07