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Selecting the correct weight

The Innovation Panel dataset is designed to be used with weights (see why you should use weights).

A number of different weights are provided to meet the different needs of users. The weight for your analysis reflects the survey instrument which is the source of the data, the analysis level (e.g. household or individual questionnaire) and the combination of waves involved.

All weights follow a naming convention, designed to help users to pick the correct weight. The name of each weight reflects the wave for which the weight is calculated, level of analysis, data source and its nature (design weight, cross-sectional analysis weight or longitudinal analysis weight). The rules are described in the Naming Conventions for Weighting Variables page.

If your analysis uses only data from one wave, select the _xw (cross-sectional) version of the weight. This weight is defined for all sample members[1] who responded to the relevant survey instrument at that wave. If your analysis uses data from two or more waves, select the _lw (longitudinal) version of the weight for the most recent wave included in your analysis. This weight is defined for sample members who responded to the relevant survey instrument at each wave.

For individual level analysis you may want to combine information from different questionnaire sources. In this situation please select the weight suitable for the lowest level according to the hierarchy below:

Level of AnalysisQuestions available for
4Household level (all enumerated individuals)
3Proxy and main adult interview
2Main adult interview only (no proxy)
1Self-completion interview, adult or youth

Example

For example, if in one model you use wave 1 data from the adult main and proxy interview as well as from the self-completion, then the correct weight will be a_indscip_xw – the weight for the self-completion questionnaire as its level (1) is lower than the level for main and proxy interview (3).

List of available weights for the Innovation Panel

Analysis levelWave(s)Data sourceAnalysis Weight
HHnHH grid and/or HH interviewn_hhdenip_xw
INDnHH grid and/or HH interviewn_psnenip_xw
IND1 through nHH grid and/or HH interviewn_psnenip_lw
IND4 through nHH grid and/or HH interviewn_psneni1_lw
IND7 through nHH grid and/or HH interviewn_psneni2_lw
IND10 through nHH grid and/or HH interviewn_psneni3_lw
IND11 through nHH grid and/or HH interviewn_psneni4_lw
IND1 & 3HH grid and/or HH interviewc_psnenip5_lw
IND1 & 3 & 4HH grid and/or HH interviewd_psnenip13_lw
INDnAdult main and proxy interviewn_indpxip_xw
IND1 through nAdult main and proxy interviewn_indpxip_lw
IND4 through nAdult main and proxy interviewn_indpxi1_lw
IND7 through nAdult main and proxy interviewn_indpxi2_lw
IND10 through nAdult main and proxy interviewn_indpxi3_lw
IND11 through nAdult main and proxy interviewn_indpxi4_lw
IND1 & 3Adult main and proxy interviewc_indpxip5_lw
IND1 & 3 & 4Adult main and proxy interviewd_indpxip13_lw
INDnAdult main interviewn_indinip_xw
IND1 through nAdult main interviewn_indinip_lw
IND4 through nAdult main interviewn_indini1_lw
IND7 through nAdult main interviewn_indini2_lw
IND10 through nAdult main interviewn_indini3_lw
IND11 through nAdult main interviewn_indini4_lw
IND1 & 3Adult main interviewc_indinip5_lw
IND1 & 3 & 4Adult main interviewd_indinip13_lw
INDnAdult self-completionn_indscip_xw
IND4 through 7Adult self-completionn_indsci1_lw
IND1 & 3Adult self-completionc_indscip5_lw
IND1 & 3 & 4Adult self-completiond_indscip13_lw
IND1 & 3 & 4 & 5Adult self-completione_indscip29_lw
IND1 & 3 & 4 & 5 & 6Adult self-completionf_indscip61_lw
IND1 & 3 to 7Adult self-completiong_indscip125_lw
IND1Youth self-completiona_ythscip_xw
IND1 & 2Youth self-completionb_ythscip_lw
INDn (w3 onwards)Youth self-completionn_ythscip_xw
IND (Design weight)a_psnenip_xd

HH = household; IND = individual


[1] With just a few exceptions, which are documented on the How the weights were derived page.

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