BIFIEsurvey (3.2-25)

Tools for Survey Statistics in Educational Assessment.

http://www.bifie.at
https://www.bifie.at/bildungsforschung/forschungsdatenbibliothek
https://www.bifie.at/large-scale-assessment-mit-r-methodische-grundlagen-der-oesterreichischen-bildungsstandardueberpruefung
https://github.com/alexanderrobitzsch/BIFI
http://cran.r-project.org/web/packages/BIFIEsurvey

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).

Maintainer: Alexander Robitzsch
Author(s): BIFIE [aut], Alexander Robitzsch [aut, cre], Konrad Oberwimmer [aut]

License: GPL (>= 2)

Uses: miceadds, Rcpp, mitools, survey, lavaan, lavaan.survey, TAM
Enhances: Hmisc, car, lme4, intsvy, svyPVpack, LSAmitR
Reverse suggests: CDM, LSAmitR, miceadds

Released 7 months ago.