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.
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.
April 28, 2021
We are happy to announce that RALSA (the R Analyzer for Large-Scale Assessments) has received an update. The package version was incremented to 1.0.0 because it has reached maturity and stability. It brings a new function, many improvements and bug fixes. Here is what’s new:
- RALSA has a new data preparation function,
lsa.data.diag, a quick automated production of weighted or unweighted frequency tables for categorical variables and descriptive statistics for continuous variables. These tables are for data diagnostic purposes prior to analysis and are not for reporting results from large-scale assessments.
March 15, 2021
We are happy to announce that RALSA (the R Analyzer for Large-Scale Assessments) has received an update (v0.90.3). It brings bug fixes and improvements. Here is what’s new:
lsa.convert.data function. The function crashes when the different cycles of the study change the case of the file names and their extensions. Thank to Yuan-Ling (Linda) Liaw.
January 2, 2021
We are happy to announce that RALSA (the R Analyzer for Large-Scale Assessments) has received an update (v0.90.2). Here is what’s new:
New study cycles added
TIMSS 2019 is now fully supported.
New study added
PISA for Development is now supported, as suggested by David Joseph Rutkowski.
December 25, 2020
It’s Christmas and, as usual, Christmas comes with presents!
The user guide for all functionality included in the first release of RALSA was finalized! You can find it here.
Enjoy the holidays!