Question
Topic: Research/Metrics
Applying Multi-variable Weighting To Research Data
Related Discussions
- Who Are The Top Companies Competing In The Market?
- Geographic Metric - Help Needed!
- How Fast Does An Untouched Sales Lead Degrade?
- Need Clear Standards To Judge Facebook Metrics
- How Can I Get Backlinks For My Website?
- Beauty Services Relocation And Market Research
- Thoughts On Abm Platforms?
- Research - Masters Dissertation Survey Help
- Experiential Marketing Survey
- Collection + Dissemination Of Customer/market Data
- Search more Know-How Exchange Q&A
Community Info
Top 25 Experts
(Research/Metrics)
- mgoodman 27,311 points
- koen.h.pauwels 25,348 points
- Jay Hamilton-Roth 21,662 points
- Chris Blackman 15,808 points
- Gary Bloomer 10,191 points
- wnelson 8,013 points
- Peter (henna gaijin) 7,543 points
- steven.alker 6,672 points
- Frank Hurtte 6,632 points
- Dawson 4,619 points
- telemoxie 4,595 points
- SteveByrneMarketing 3,358 points
- SRyan ;] 2,396 points
- Blaine Wilkerson 2,387 points
- ReadCopy 2,081 points
- Pepper Blue 1,863 points
- bobhogg 1,748 points
- BizConsult 1,491 points
For example: I know 49 desktop/women/65+ said they were going to see the doctor out of a total of 181 people in that cohort and 371 total survey respondents. The weight for this cohort is .21 (they are over-represented in my sample). Do I take the weight x the number of people in this cohort going to the doctor (.21*49=10.49), then do that for each cohort and take the sum of those scores and divide them by the 371 total respondents to get my actual weighted % who are going to the doctor? Or is there some other calculation I should be doing? Thanks!