Welcome to the website of the R Analyzer for Large-Scale Assessments
The R Analyzer for Large-Scale Assessments (RALSA) is an R package for preparation and analysis of data from large-scale assessments and surveys which use complex sampling and assessment design. RALSA is a free of charge and open source software licensed under GPL v2.0 and is cross-platform — it works on any system which can run a full installation of R. Currently, RALSA supports a number of studies with different design and a number of analysis types (see below). Both of these will increase in future.
May 4, 2022
RALSA has been updated to version 1.2.0. The main accent in this update is introducing graphical representation of the statistics for the percentages and averages, percentiles, and benchmarks. These…
March 30, 2022
RALSA has been updated to version 1.1.5. The update brings new functionality for an existing analysis type, new data preparation function, improvements and bug fixes. Here is what’s new in this update:
March 25, 2022
The International Educational Research and Evaluation Institute (http://www.ineri.org) is organizing a three-day online training on using the R Analyzer for Large-Scale Assessments (RALSA) R package to analyze large-scale assessments’ and surveys’ data. The three-day training will take place from April 25 till April 27, 2022. The training includes both lectures and hands-on practice sessions.
February 4, 2022
RALSA was updated to version 1.1.0. The update brings one more analysis type, a new feature for two of the existing analysis types, support for a new study, support for an additional datasets type within a supported study, many bugfixes, and a lot of improvements. Here is what’s new…
November 16, 2021
RALSA was presented at the International Research Conference (IRC) organized by the International Association for the Evaluation of Educational Achievement (IEA). The conference is held in Dubai in three modes — onsite, online, and hybrid.
The presentation given…
October 21, 2021
RALSA was updated to version 1.0.2. This is a maintenance update and includes some bugfixes, dropping a package dependency, and some improvements. Here is what’s new…
October 4, 2021
We are very happy to announce a new publication on the
RALSA package in the Springer Open Large-scale Assessments in Education journal (an IEA-ETS Research Institute Journal). The publication…
September 2, 2021
The first workshop on using
RALSA was delivered as part of the annual European Conference on Educational Research (ECER) 2021 conference. This one-day workshop was delivered within the ECER 2021 pre-conference. We would like to thank all attendants for their active participation…
June 12, 2021
A publication on the
RALSA package software design and implementation was published in the MDPI’s Psych journal – “RALSA: Design and Implementation” (https://doi.org/10.3390/psych3020018) – as part of the journal’s special issue Computational Aspects, Statistical Algorithms and Software in Psychometrics. The paper presents the technical aspects of
May 28, 2021
RALSA was updated to version 1.0.1. This is a maintenance version following the update of base R to v4.1.0 where some functions’ behavior has changed and cause crashes in the analysis functions
- All analysis functions. Some functions in base R were updated and their behavior has changed causing crashes in the analysis functions with
first argument has length > 1 error messages.
lsa.vars.dict function. When there are just two levels for a factor variable, the second level in ?Variable levels? ends without a single quote.