Measure response concentration across every collection mode accurately. Identify dominant channels, ties, and imbalance instantly. Make comparisons across mixed-mode survey datasets with confidence today.
| Mode | Count | Weight | Weighted Count | Raw Share % | Weighted Share % |
|---|
| Mode | Responses | Weight | Weighted Responses | Comment |
|---|---|---|---|---|
| Web | 420 | 1.00 | 420.00 | Largest raw collection channel in this sample. |
| Phone | 165 | 1.10 | 181.50 | Higher weight reflects stronger representational value. |
| 110 | 0.95 | 104.50 | Slight down-weighting reduces influence on final score. | |
| Field | 85 | 1.20 | 102.00 | Smaller count, but weight increases adjusted contribution. |
| Other | 20 | 0.80 | 16.00 | Low volume and low weight keep impact limited. |
Weighted Count: Weighted Counti = Response Counti × Weighti
Weighted Share: Weighted Sharei = Weighted Counti ÷ Total Weighted Count
Survey Mode Score: Mode Score = Highest Weighted Share × Selected Scale
Concentration Index: HHI = Σ(Weighted Sharei2)
Entropy: Entropy = -Σ(Weighted Sharei × ln(Weighted Sharei))
The dominant survey mode is the category with the highest weighted count. If the gap between the top two weighted shares is less than or equal to the tie tolerance, the result is flagged as a tie.
Survey mode score translates channel mix into a metric. When one collection mode carries most weighted responses, the score rises and signals dependence. In a sample with 800 completes, a web-heavy design may exceed fifty weighted share points, while a balanced design may remain near thirty. Analysts use this measure to check whether fieldwork is concentrating production beyond design.
Raw counts do not always show the most influential mode. A phone sample of 165 responses weighted at 1.10 contributes 181.5 adjusted units, while 110 mail responses weighted at 0.95 contribute 104.5 units. This adjustment matters when underrepresented groups are reached through channels. The calculator compares raw and weighted share, helping researchers avoid decisions based on volume.
The concentration index summarizes how strongly responses cluster around fewer modes. If weighted shares are 51, 22, 13, 12, and 2 percent, the squared-share total is higher than in an evenly distributed design. Higher concentration can indicate efficiency, yet it may also increase nonresponse bias risk if one channel systematically misses groups during collection.
Entropy complements concentration by rewarding diversity in the completed sample. When weighted shares are spread evenly across web, phone, mail, field, and other channels, entropy increases. This is useful in mixed-mode studies where resilience matters. If one mode fails during collection, higher balance means the project can continue without severe disruption to representativeness or commitments.
Small differences between top channels often do not justify declaring a single winner. A tie tolerance of one percent treats practically equal modes as jointly dominant. Weighted shares of 34.8 and 34.1 may reflect sampling movement rather than a meaningful operational distinction. This feature helps project teams communicate results when two channels perform at nearly identical levels.
Survey managers can use the score, chart, and summary table to guide panel allocation, interviewer staffing, reminder scheduling, and budget rebalancing. If fieldwork shows rising reliance on one mode, teams can intervene before quality declines. In quarterly tracking studies, comparing mode scores reveals whether behavior is shifting toward lower-cost digital channels or returning to assisted collection methods.
It represents the highest weighted share among all survey modes, scaled to your selected output range. It helps identify which collection channel dominates the sample after weighting.
Weights adjust raw response counts to reflect design priorities, representativeness, or response quality. A smaller channel can become more influential if its weight is higher.
The calculator compares the top weighted shares. If the difference between leading modes is within the tie tolerance percentage, the result is marked as a tie.
A high concentration index means responses are clustered in fewer modes. This may improve efficiency, but it can also increase dependence on one collection channel.
Entropy measures distribution balance. Higher entropy indicates responses are spread more evenly across modes, which usually signals a more diversified mixed-mode collection strategy.
Yes. After submitting the form, you can download the result summary table as CSV or export the visible results section as a PDF file.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.