Identity-ranking data with estimated weights based on inverse probability weighting
Source:R/data.R
identity_w.RdThis data is the `results` element returned by applying `imprr_weights()` to `identity`. It adds two columns to the original `identity` data: `weights`, the estimated inverse probability weights, and `ranking`, the pasted full ranking profile.
Format
## `identity_w` A data frame with 1,082 rows and 18 columns:
- weights
Estimated weights based on inverse probability weighting.
- s_weight
Survey weight.
- app_identity
Full ranking profile for the main identity ranking question.
- 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_identity
Full ranking profile for the anchor ranking question.
- household
Marginal ranking for household (anchor question).
- neighborhood
Marginal ranking for neighborhood (anchor question).
- city
Marginal ranking for city (anchor question).
- 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.
- app_identity_recorded
Recorded responses for the main identity ranking question.
- anc_identity_recorded
Recorded responses for the anchor ranking question.
- app_identity_row_rnd
The order in which the items were randomly presented for the respondent in the main ranking question.
- anc_identity_row_rnd
The order in which the items were randomly presented for the respondent in the anchor ranking question.
- ranking
Pasted full ranking profile reconstructed from the marginal ranking columns. In this dataset, it matches
app_identity.