Full dataset from survey on relative partisanship used in Atsusaka, Yuki, & Kim, Seo-young Silvia (2024). Addressing Measurement Errors in Ranking Questions for the Social Sciences. Political Analysis (conditionally accepted). https://osf.io/preprints/osf/3ys8x
This data contains Americans' rankings of four sources of their identity, including political party, religion, gender, and race, for 1,082 respondents. The columns consist of marginal rankings to the main identity ranking question and the corresponding anchor question, as well as whether they have answered the anchor questions "correctly." The anchor ranking question is used to estimate the proportion of random responses and to correct for measurement error bias.
Format
## `identity` A data frame with 1,082 rows and 10 columns:
- app_party
Marginal ranking for party (main identity ranking question).
- app_religion
Marginal ranking for religion (main identity ranking question).
- app_gender
Marginal ranking for gender (main identity ranking question).
- app_race
Marginal ranking for race (main identity ranking question).
- anc_house
Marginal ranking for household (anchor question).
- anc_neighborhood
Marginal ranking for neighborhood (anchor question).
- anc_city
Marginal ranking for city (anchor question).
- anc_state
Marginal ranking for state (anchor question).
- anc_correct_identity
Whether the respondent answered the anchor questions correctly. This is a binary variable that 1 if the respondent correctly answers the anchor ranking question and 0 if otherwise.
- s_weight
Survey weight.