Identity-ranking data with estimated weights based on inverse probability weighting
Source:R/data.R
identity_w.RdThis data has two extra columns from the original `identity` data: `w` and `ranking`, which are respectively the estimated weights based on inverse probability weighting and the ranking pattern that the respondent provided, united into a single column.
Format
## `identity_w` A data frame with 1,082 rows and 12 columns:
- w
Estimated weight based on inverse probability weighting.
- ranking
Ranking pattern that the respondent provided.
- party
Marginal ranking for party (main identity ranking question).
- religion
Marginal ranking for religion (main identity ranking question).
- gender
Marginal ranking for gender (main identity ranking question).
- 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.