miller_2022_lobbyist_access

2,649 rated or chosen profiles from 670 respondents, in up to 2 tasks of 2 profiles varying on 9 attributes.

About this table

DescriptionUS lobbyists sampled from Lobbying Disclosure Act reports (n = 670) chose which of two members of Congress was the more attractive target for access and rated interest in meeting each (1-5), in 2 policy scenarios, with randomized party, district support, seniority, position, committee membership and leadership, margin of victory, PAC donation and cosponsorship.
ReferenceMiller, D. R. (2022). On whose door to knock? Organized interests' strategic pursuit of access to members of Congress. Legislative Studies Quarterly, 47(1), 157-192.
DOI10.1111/lsq.12328
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/YWTALO

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents670
Rows (one per respondent, task and profile)2,649
Tasks per respondent (most)2
Profiles per task2
Attributes9
Tasks with no profile chosen0

Design

Topicdemocracy institutions
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): design.dat: cmte No excludes cmteldr Subcommittee chair and Subcommittee ranking member; pty Democrat excludes Subcommittee ranking member; pty Republican excludes Subcommittee chair; position Oppose or Undeclared excludes cosponsor Yes. The restrictions make the level shares unequal (cosponsor Yes 25%, position Support about half, cmte Yes about two thirds)
Task orderinferred from row order
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceWhich member is the more attractive target? (paraphrase of codebook: whether respondent chose member as more attractive target) [choice, forced]
ratingLevel of interest in meeting with the member (paraphrase of codebook: respondent's five-point ordinal level of interest in meeting with the member) [rating, 1 (unknown) to 5 (unknown)]

Columns

attr_cmteattr_cmteldrattr_cosponsorattr_movattr_num_constattr_pacattr_positionattr_ptyattr_senioritychoicecov_age_groupcov_educationcov_gendercov_ideologycov_incomecov_party_idcov_party_id7cov_positioncov_prev_civil_servantcov_prev_cong_staffcov_prev_eopcov_prev_member_congresscov_prev_nonecov_prev_othercov_prev_pres_appointeecov_racecov_years_experienceidprofileratingtasktrial_issuetrial_stage

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("miller_2022_lobbyist_access", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("miller_2022_lobbyist_access", source="conj")

How to cite

@article{Miller_2021, title={On Whose Door to Knock? Organized Interests’ Strategic Pursuit of Access to Members of Congress}, volume={47}, ISSN={1939-9162}, url={http://dx.doi.org/10.1111/lsq.12328}, DOI={10.1111/lsq.12328}, number={1}, journal={Legislative Studies Quarterly}, publisher={Wiley}, author={Miller, David R.}, year={2021}, month=Jan, pages={157–192} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0