Interpreting weighting scheme results in modern reports
Learn about how to interpret the Weight Scheme Results report, and determine the effectiveness of your weighting scheme.
Number | Option | Description |
---|---|---|
1 | Combination of variables | The number of variables that are combined
and analyzed by the weighting scheme. For example, you add the following fields
to a weighting scheme:
The combined value is 6 because each combination of the two fields must be weighted:
|
2 | Last calculated | The date and time when the weighting scheme was last calculated. This value is set when the weighting scheme is created and updated whenever the weighting scheme is edited. |
3 | Target percentage achieved | Indicates that the weighting calculations were successful and all answers in the weighting scheme could be adjusted to their target percentages. |
4 | Weighting efficiency | Weighting efficiency is a percentage value
ranging from 0% to 100% that reflects the extent to which weights have impacted
the variability of the survey data, and how close the weighted sample is to the
target population.
The weighting efficiency affects the number or responses analyzed in your report. If the weighting efficiency is 80%, this means that weighting reduces the sample by 20%. If the sample contained 1000 responses, it is as if you have removed 200 responses from the sample (1000 * 80% = 800). This may be an important factor to consider when there is cost associated with acquiring each respondent. |
5 | Weighted base | The total number of responses after
weighting is applied.
This value represents the total weight applied to the sample. |
6 | Unweighted base | The total number of responses before weighting is applied. |
7 | Effective base | The adjusted sample size after applying
weights.
This value accounts for variability in weights (i.e., how weights differ across respondents). It provides a measure of how representative or reliable the weighted data are.
|
8 | Maximum weight | The maximum weight factor applied to a
variable or variable combination. The recommended maximum weight is less than
3.
If you specified a Maximum Weight Factor Limit for your weighting scheme, the Maximum weight will not exceed this value. |
9 | Minimum weight | The minimum weight factor applied to a
variable or variable combination. The recommended minimum weight factor is
greater than 0.5.
If you specified a Minimum Weight Factor Limit for your weighting scheme, the Minimum weight will not be less than this value. |