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RALSA v1.5.0 (2024-09-23)

This minimal update provides a fix for incorrect handling of user-defined missing values in the lsa.data.diag function.

Bug fixes

RALSA v1.4.7 (2024-07-25)

This update replaces the F-statistic with Wald F-statistic in linear regression and fixes a bug in all analysis functions that crashes them when TALIS 3S data is used due to misidentified replicate weights.

Bug fixes

New functionality

Miscellaneous

RALSA v1.4.5 (2024-04-26)

This update fixes a number of issues in the graphing capabilities of the descriptive functions and the GUI. In addition to these fixes, the GUI has received various visual improvements and optimizations. The support for ICCS 2022 cycle has been finalized.

Bug fixes

Miscellaneous

RALSA v1.4.0 (2024-02-02)

This update fixes a number of issues, completely revamps the conversion function, updates the conversion of PISA 2015 files, adds support for PISA 2022 and a studies, and countries’ participation in studies and cycles reference table in the GUI help section.

Bug fixes

New functionality

Miscellaneous

RALSA v1.3.7 (2023-10-26)

This update focuses mainly on some critical issues that were introduced after the changes in the last versions of R and CRAN policies on package documentation.

Bug fixes

Miscellaneous

RALSA v1.3.5 (2023-05-23)

This update focuses on adding more functionality to the existing graph capabilities, bug fixes and overall improvement of the workflow, and updates existing features following updates of packages RALSA depends on. Saving syntaxes from the GUI now appends the new synatx to existing files instead of overwriting them.

Bug fixes

New functionality

Miscellaneous

RALSA v1.3.0 (2022-07-08)

This update focuses mainly on bugfixes and improvements in the GUI and its workflow, but also introduces some new features.

Bug fixes

New functionality

Miscellaneous

RALSA v1.2.0 (2022-05-04)

Bug fixes

New functionality

Miscellaneous

RALSA v1.1.5 (2022-03-30)

Bug fixes

New functionality

Miscellaneous

RALSA v1.1.0 (2022-02-04)

Bug fixes

New functionality

New study added

Miscellaneous

RALSA v1.0.2 (2021-10-21)

This is a maintenance version fixing some bugs and removing package dependency.

Bug fixes

Miscellaneous

RALSA v1.0.1 (2021-05-28)

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.

Bug fixes

Miscellaneous

RALSA v1.0.0 (2021-04-28)

Bug fixes

New functionality

Miscellaneous

RALSA v0.90.3 (2021-03-15)

Bug fixes

Miscellaneous

RALSA v0.90.2 (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 requested by David Joseph Rutkowski.

Miscellaneous

RALSA v0.90.1 (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):

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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