RALSA v.0.90.2 (2021-03-15)

Bug fixes


The ISO argument in lsa.convert.data is now case-insensitive.

The file.types and ISO arguments in lsa.merge.data are now case insensitive.

The error messages in lsa.recode.vars are improved.

RALSA v.0.90.2 (2021-01-02)

Bug fixes

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.


RALSA v.0.90.1 (2020-10-26)

The first version of the R Analyzer for Large-Scale Assessments (RALSA) is released. RALSA targets both the experienced R users, as well as those less technical skills. Thus, along with the traditional command-line R interface, a Graphical User Interface is featured.

Note that this is a “first release” version, so some bugs are expected.

RALSA is is used for preparation and analysis of data from large-scale assessments and surveys which use complex sampling and assessment design. 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.

RALSA is a free and open source software licensed under GPL v2.0.

Currently, RALSA supports the following functionality:

All data preparation and analysis functions automatically recognize the study design and apply the appropriate techniques to handle the complex sampling assessment design issues, while giving freedom to tweak the analysis (e.g. change the default weight, apply the “shortcut” method in TIMSS and PIRLS, and so on).

Currently, RALSA can work with data from all cycles of the following studies (more will be added in future):