Tools for Survey Statistics in Educational Assessment

Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights; see Kolenikov, 2010; Pfefferman & Rao, 2009a, 2009b, , ); Shao, 1996, ). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets and is in particularly suited for the analysis of plausible values (for details see George, Oberwimmer & Itzlinger-Bruneforth, 2016; Bruneforth, Oberwimmer & Robitzsch, 2016; Robitzsch, Pham & Yanagida, 2016). The package development was supported by BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System; Salzburg, Austria).

BIFIEsurvey

Tools for Survey Statistics in Educational Assessment

If you use BIFIEsurvey and have suggestions for improvement or have found bugs, please email me at [email protected]. Please always provide a minimal dataset, necessary to demonstrate the problem, a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().

Manual

The manual may be found here https://konradoberwimmer.github.io/BIFIEsurvey/

CRAN version BIFIEsurvey 3.6-6 (2024-04-25)

The official version of BIFIEsurvey is hosted on CRAN and may be found here. The CRAN version can be installed from within R using:

utils::install.packages("BIFIEsurvey")

GitHub version BIFIEsurvey 3.8.0 (2026-01-08)

The version hosted here is the development version of BIFIEsurvey. The GitHub version can be installed using devtools as:

devtools::install_github("konradoberwimmer/BIFIEsurvey")

Former versions

Former versions can be downloaded here.

Acknowledgement

Up to 2025 this software package was maintained by its originator Alexander Robitzsch. He contributes almost all of the source code.