RALSA: priročnik za uporabo

This is a manual on how to use the R Analyzer for Large-Scale Assessments (RALSA), published in Slovene language. RALSA is an R package to download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design like TIMSS, PIRLS and PISA. The Slovene manual provides a step-by-step instructions for the users of the package on how to navigate through the interface, process the data, make settings depending on the desired analysis, and execute it to obtain the analysis outputs. The manual provides illustrated examples in using both the command-line interface and the graphical user interface. The manual is intended for users with or without technical experience and familiarity with the R programming language.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-12
DOI
https://doi.org/10.5281/zenodo.15316579
Primary Topic
Data Analysis with R
Type
article
Field-Weighted Citation Impact
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article

RALSA: priročnik za uporabo

Zenodo (CERN European Organization for Nuclear Research)
Data Analysis with R
article

RALSA: priročnik za uporabo

article en

Abstract

This is a manual on how to use the R Analyzer for Large-Scale Assessments (RALSA), published in Slovene language. RALSA is an R package to download, prepare and analyze data from large-scale assessments and surveys with complex sampling and assessment design like TIMSS, PIRLS and PISA. The Slovene manual provides a step-by-step instructions for the users of the package on how to navigate through the interface, process the data, make settings depending on the desired analysis, and execute it to obtain the analysis outputs. The manual provides illustrated examples in using both the command-line interface and the graphical user interface. The manual is intended for users with or without technical experience and familiarity with the R programming language.

Zenodo (CERN European Organization for Nuclear Research)
Institute of International Education (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Data Analysis with R
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