<p>This dataset is a subset of the 1994 Multi-Investigator Survey and contains
the item count technique or the list experiment.  The main question reads as
follows: <code> Now I'm going to read you four things that sometimes make
people angry or upset.  After I read all (three/four), just tell me HOW MANY
of them upset you.  (I don't want to know which ones, just how many.)  (1)
"the federal government increasing the tax on gasoline;" (2) "professional
athletes getting million-dollar-plus salaries;" (3) "requiring seatbelts be
used when driving;" (4) "large corporations polluting the environment;" (5)
"black leaders asking the government for affirmative action."</code></p>

datasets

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) <doi:10.1198/jasa.2011.ap10415>,
Blair and Imai (2012) <doi:10.1093/pan/mpr048>,
Blair, Imai, and Lyall (2013) <doi:10.1111/ajps.12086>,
Imai, Park, and Greene (2014) <doi:10.1093/pan/mpu017>,
Aronow, Coppock, Crawford, and Green (2015) <doi:10.1093/jssam/smu023>,
Chou, Imai, and Rosenfeld (2017) <doi:10.1177/0049124117729711>, and
Blair, Chou, and Imai (2018) <https://imai.fas.harvard.edu/research/files/listerror.pdf>.
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, a method for combining
list experiments with direct questions, and methods for diagnosing and
adjusting for response error. 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.

Graeme Blair

list

Statistical Methods for the Item Count Technique and List
Experiment

Winston Chou

Kosuke Imai

Bethany Park

Alexander Coppock

mis function

<p>A data frame containing the following 6 variables for 1171
observations.</p>
<table class="table">
<tr><td>y</td><td>numeric</td><td>the number of items that make
respondents angry</td><td>0 - 4</td></tr>
<tr><td>sensitive</td><td>numeric</td><td>whether or not
the sensitive item (asked directly) makes respondents angry</td><td>0 - 1</td></tr>
<tr><td>south</td><td>numeric</td><td>whether or not a respondents live in a southern
state</td><td>0 - 1</td></tr>
<tr><td>male</td><td>numeric</td><td>whether or not a respondent is
male</td><td>0 - 1</td></tr>
<tr><td>college</td><td>numeric</td><td>whether or not a respondent
attended some college</td><td>0 - 1</td></tr>
<tr><td>age</td><td>numeric</td><td>age of a
respondent divided by 10</td><td>democrat</td></tr>
<tr><td>numeric</td><td>whether not a
respondent identifies as a Democrat</td><td>0 - 1</td><td>republican</td></tr>
<tr><td>numeric</td><td>whether not a respondent identifies as a Republican</td><td>0 - 1</td><td>independent</td></tr>
<tr><td>numeric</td><td>whether not a respondent identifies as an
independent</td><td>0 - 1</td><td>treat</td></tr>
<tr><td>numeric</td><td>treatment status</td><td>0 -
1</td><td>list.data</td></tr>
<tr><td>numeric</td><td>indicator for list experiment subset
(treatment and control groups)</td><td>0 - 1</td><td>sens.data</td></tr>
<tr><td>numeric</td><td>indicator for direct sensitive item subset</td><td>0 - 1</td><td></td></tr>
</table><p></p><p></p>

Format

The 1994 Multi-Investigator Survey — mis

<p>A data frame containing the following 6 variables for 1171
observations.</p>
<table class='table'>
<tr><td>y</td><td>numeric</td><td>the number of items that make
respondents angry</td><td>0 - 4</td></tr>
<tr><td>sensitive</td><td>numeric</td><td>whether or not
the sensitive item (asked directly) makes respondents angry</td><td>0 - 1</td></tr>
<tr><td>south</td><td>numeric</td><td>whether or not a respondents live in a southern
state</td><td>0 - 1</td></tr>
<tr><td>male</td><td>numeric</td><td>whether or not a respondent is
male</td><td>0 - 1</td></tr>
<tr><td>college</td><td>numeric</td><td>whether or not a respondent
attended some college</td><td>0 - 1</td></tr>
<tr><td>age</td><td>numeric</td><td>age of a
respondent divided by 10</td><td>democrat</td></tr>
<tr><td>numeric</td><td>whether not a
respondent identifies as a Democrat</td><td>0 - 1</td><td>republican</td></tr>
<tr><td>numeric</td><td>whether not a respondent identifies as a Republican</td><td>0 - 1</td><td>independent</td></tr>
<tr><td>numeric</td><td>whether not a respondent identifies as an
independent</td><td>0 - 1</td><td>treat</td></tr>
<tr><td>numeric</td><td>treatment status</td><td>0 -
1</td><td>list.data</td></tr>
<tr><td>numeric</td><td>indicator for list experiment subset
(treatment and control groups)</td><td>0 - 1</td><td>sens.data</td></tr>
<tr><td>numeric</td><td>indicator for direct sensitive item subset</td><td>0 - 1</td><td></td></tr>
</table>



mis: The 1994 Multi-Investigator Survey

Description

Arguments

Format

Details

y	numeric	the number of items that make respondents angry	0 - 4
sensitive	numeric	whether or not the sensitive item (asked directly) makes respondents angry	0 - 1
south	numeric	whether or not a respondents live in a southern state	0 - 1
male	numeric	whether or not a respondent is male	0 - 1
college	numeric	whether or not a respondent attended some college	0 - 1
age	numeric	age of a respondent divided by 10	democrat
numeric	whether not a respondent identifies as a Democrat	0 - 1	republican
numeric	whether not a respondent identifies as a Republican	0 - 1	independent
numeric	whether not a respondent identifies as an independent	0 - 1	treat
numeric	treatment status	0 - 1	list.data
numeric	indicator for list experiment subset (treatment and control groups)	0 - 1	sens.data
numeric	indicator for direct sensitive item subset	0 - 1