November 10, 2020
RALSA v.0.90.1 was released!
We are proud to announce the first release of RALSA. After all the hard work of development, the first version of the R Analyzer for Large-Scale Assessments (RALSA) came to life. RALSA targets both the experienced R users, as well as those who do not have technical skills. Thus, along with the traditional command-line R interface, a Graphical User Interface is made available.
Note that this is a “first release” version, so some bugs are expected.
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. Currently, RALSA supports a number of studies with different design and a number of analysis types (see below). The number for both of these will increase in future.
RALSA is a free and open source software licensed under GPL v2.0.
In addition to the traditional command-line R interface, RALSA introduces a Graphical User Interface for the users who lack the technical skills.
Currently, RALSA supports the following functionality:
- Prepare data for analysis
- Convert data (SPSS, or text in case of PISA prior 2015)
- Merge study data files from different countries and/or respondents
- View variable properties (name, class, variable label, response categories/unique values, user-defined missing values)
- Recode variables
- Perform analyses (more analysis types will be added in future)
- Percentages of respondents in certain groups and averages on variables of interest, per group
- Percentiles of variables within groups of respondents
- Percentages of respondents reaching or surpassing benchmarks of achievement
- Correlations (Pearson or Spearman)
- Linear regression
- Binary logistic regression
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):
- PIRLS (including PIRLS Literacy and ePIRLS)
- TIMSS (including TIMSS Numeracy, eTIMSS will be added with the upcoming release of TIMSS 2019)
- TiPi (TIMSS and PIRLS joint study)
- TIMSS Advanced
- TALIS Starting Strong Survey (a.k.a. TALIS 3S)