list: Statistical Methods for the Item Count Technique and List Experiment

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Allows researchers to conduct multivariate statistical analyses of survey data with list experiments. This survey methodology is also known as the item count technique or the unmatched count technique and is an alternative to the commonly used randomized response method. The package implements the methods developed by Imai (2011), Blair and Imai (2012), Blair, Imai, and Lyall (2013), Imai, Park, and Greene (2014), and Aronow, Coppock, Crawford, and Green (2015). This includes a Bayesian MCMC implementation of regression for the standard and multiple sensitive item list experiment designs and a random effects setup, a Bayesian MCMC hierarchical regression model with up to three hierarchical groups, the combined list experiment and endorsement experiment regression model, a joint model of the list experiment that enables the analysis of the list experiment as a predictor in outcome regression models, and a method for combining list experiments with direct questions. In addition, the package implements the statistical test that is designed to detect certain failures of list experiments, and a placebo test for the list experiment using data from direct questions.

Author
Graeme Blair [aut, cre], Kosuke Imai [aut, cre], Bethany Park [ctb], Alexander Coppock [ctb], Winston Chou [ctb]
Date of publication
2016-08-16 09:55:37
Maintainer
Graeme Blair <graeme.blair@ucla.edu>
License
GPL (>= 2)
Version
8.2

View on CRAN

Man pages

affirm
The 1991 National Race and Politics Survey
combinedListDirect
Combined List Estimator
combinedListExps
Five List Experiments with Direct Questions
comp.listEndorse
Comparing List and Endorsement Experiment Data
ictreg
Item Count Technique
ictregBayes
Item Count Technique
ictregBayesHier
Item Count Technique
ictreg.joint
Item Count Technique: Outcome Models
ict.test
Item Count Technique
mexico
The 2012 Mexico Elections Panel Study
mis
The 1994 Multi-Investigator Survey
multi
The 1991 National Race and Politics Survey
plot.predict.ictreg
Plot Method for the Item Count Technique
predict.ictreg
Predict Method for Item Count Technique
predict.ictregBayes
Predict Method for the Item Count Technique with Bayesian...
predict.ictregBayesHier
Predict Method for the Item Count Technique with Bayesian...
predict.ictreg.joint
Predict Method for Item Count Technique, Outcome Regressions
race
The 1991 National Race and Politics Survey
summary.ictreg
Summary Method for the Item Count Technique

Files in this package

list
list/inst
list/inst/CITATION
list/inst/doc
list/inst/doc/combined-list.R
list/inst/doc/combined-list.html
list/inst/doc/combined-list.Rmd
list/tests
list/tests/testthat.R
list/tests/testthat
list/tests/testthat/Rplots.pdf
list/tests/testthat/test-ictregBayesHier.R
list/tests/testthat/test-ictreg.R
list/tests/testthat/test-ictreg.joint.R
list/tests/testthat/test-ict.test.R
list/tests/testthat/test-combined.R
list/tests/testthat/test-ictregBayes.R
list/src
list/src/Makevars
list/src/rand.h
list/src/rand.c
list/src/subroutines.c
list/src/vector.c
list/src/vector.h
list/src/subroutines.h
list/src/models.h
list/src/poisbinom.c
list/src/combine.c
list/src/models.c
list/NAMESPACE
list/data
list/data/combinedListExps.rdata
list/data/affirm.tab.gz
list/data/multi.tab.gz
list/data/mexico.tab.gz
list/data/mis.tab.gz
list/data/race.tab.gz
list/R
list/R/bayesglm.R
list/R/ictregBayesHier.R
list/R/ictregBayes.R
list/R/ictreg.joint.R
list/R/combinedListDirect.R
list/R/ict.test.R
list/R/ictreg.R
list/R/comp.listEndorse.R
list/vignettes
list/vignettes/combined-list.Rmd
list/README.md
list/MD5
list/build
list/build/vignette.rds
list/DESCRIPTION
list/ChangeLog
list/man
list/man/predict.ictregBayes.Rd
list/man/mexico.Rd
list/man/ictregBayesHier.Rd
list/man/ictreg.Rd
list/man/summary.ictreg.Rd
list/man/combinedListExps.Rd
list/man/combinedListDirect.Rd
list/man/comp.listEndorse.Rd
list/man/predict.ictreg.Rd
list/man/predict.ictreg.joint.Rd
list/man/ict.test.Rd
list/man/affirm.Rd
list/man/ictreg.joint.Rd
list/man/plot.predict.ictreg.Rd
list/man/predict.ictregBayesHier.Rd
list/man/mis.Rd
list/man/race.Rd
list/man/multi.Rd
list/man/ictregBayes.Rd