11,509 responses from 3,013 respondents to 4 items.
| Description | Political knowledge quiz, 4 items (veto override, House majority, constitutionality, Secretary of State); 4 items, 0/1 (incorrect/correct; resp_raw = option chosen for the three closed items); 3013 US adults in two survey experiments; covariates: party ID, ideology, education, income, race, age band, gender, condition, political engagement items. |
|---|---|
| Reference | Mullinix, K. J. (2016). Partisanship and preference formation: competing motivations, elite polarization, and issue importance. Political Behavior, 38(2), 383-411. https://doi.org/10.1007/s11109-015-9318-4 |
| DOI | 10.1007/s11109-015-9318-4 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/JC2QJ0 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 11,509 |
|---|---|
| Respondents | 3,013 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 3.820 |
| Responses per item | 2877.250 |
| Density | 0.955 |
| Longitudinal | FALSE |
| construct type | Cognitive/educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Political knowledge |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mullinix_2015_political_knowledge.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
resp_raw | IRW standard The response as originally recorded, where resp holds a scored or recoded version of it — the letter a candidate marked (A–E), an option label, a categorical string. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_condition | Covariate | group |
cov_education | Covariate | Education |
cov_gender | Covariate | Gender |
cov_ideology | Covariate | Ideology |
cov_income | Covariate | Income |
cov_interest | Covariate | InterestPol |
cov_party_activities | Covariate | PolActivites |
cov_pid7 | Covariate | PIDrep |
cov_race | Covariate | Race |
cov_talk_politics | Covariate | TalkPoli |
cov_trust_gov | Covariate | TrustGov |
What item codes and covariate values stand for is in the codebook released with the source data.
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("mullinix_2015_political_knowledge")
# Python
pip install irw
import irw
df = irw.fetch("mullinix_2015_political_knowledge")
@article{Mullinix_2015, title={Partisanship and Preference Formation: Competing Motivations, Elite Polarization, and Issue Importance}, volume={38}, ISSN={1573-6687}, url={http://dx.doi.org/10.1007/s11109-015-9318-4}, DOI={10.1007/s11109-015-9318-4}, number={2}, journal={Political Behavior}, publisher={Springer Science and Business Media LLC}, author={Mullinix, Kevin J.}, year={2015}, month=Sept, pages={383–411} }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.5 |
| Redivis dataset DOI | 10.57761/41xy-5k56 |
| Manifest pin for this IRW version | v8.5 |
| Metadata source | irw_meta v44.0 |