Hear SSI’s Latest Research on New Techniques at these Research Events
Cyborg vs. Monsters: Assembling
Paul Johnson, Director, Analytics
Audience Measurement 8.0, June 10-11, New York City
Today’s on-the-go consumer demands shorter surveys. A modular approach breaks a survey into bite-size pieces. SSI presents two new techniques for combining these pieces into a complete data set suitable for advanced analytics. Shock! Horror! Cyborgs and monsters can be good for research!
Improving RDD Cell Sample Productivity
Missy Mosher, Senior Client Service Consultant
In partnership with Princeton Survey Research Associates
AAPOR Annual Conference, May 16-19, Boston
SSI, in conjunction with Neustar Information Services, has developed a method for identifying non-working and likely non-working numbers in RDD cell samples to improve sample efficiency. This presentation will help every researcher make an informed decision about screening wireless sample.
Using Maximum-Difference Scaling to Elicit Water Usage Preferences
Paul Johnson, Director, Analytics
AAPOR Annual Conference, May 16-19, Boston
SSI built an online panel of 30,000 local residents for this US local government project. Instead of using a typical Likert scale, a Maximum-Difference Exercise was used to force respondents to make trade-offs. The result was richer data to help make better decisions about how to allocate a scarce resource.
Will Snowball Sampling Leave Your Data in the Cold?
Kristin Cavallaro, Knowledge and Data Analysis Specialist
AAPOR Annual Conference, May 16-19, Boston
When our research target is a needle in a haystack, is snowball sampling a good solution? SSI’s new research tested snowball against other online techniques, and recommends how best to incorporate it into your online sampling plan.
Respondent Rewards: Money for Nothing?
Pete Cape, Global Knowledge Director
ARF Re:Think Plus, April 23, Webinar 2:30-4:30 pm ET
Rewards are ubiquitous in online research and are generally believed to boost response rates. But response rates in online research are poor. with or without rewards. Is it time to consider the methodological implications of rewarding online respondents less?
Did I Do That? How Trap Questions Can Hurt Data Quality
Keith Phillips, Senior Methodologist
ARF Re:Think Plus, April 17, Webinar 12:30-1:30 pm ET
Without an interviewer present, it is generally believed that online self-completion surveys are more likely to have disengaged participants which have led to data quality concerns. One of those solutions the industry has come up with is asking quality control (or trap questions) to determine if a participant is paying attention. The biggest factors determining what proportion of participants are thrown out of a data set are the type of trap questions that are being used and how many trap questions are being asked. However, the fundamental assumption of a trap question is that the behavior within the trap is indicative of the participant's behavior throughout the survey, but if inattention is a random phenomenon then the exclusion from the trap could be meaningless. Furthermore, specific trap questions are designed to disengage participants and therefore, by design, create a systematic exclusion within the data, which can impacte data outcomes.
Understanding the French Digital Consumer
Renaud Farrugia, Managing Director France, Spain, Italy
Le printemps des études, April 4-5, Paris
What are the latest trends, fads and fashion in the French digital space that we in the world of marketing need to know about to keep up and keep ahead? In this latest piece of research from SSI, learn what’s hot in the French digital space right now.
7 Keys to Quality Online Sample
Pete Cape, Global Knowledge Director
Le printemps des études, April 4-5, Paris
If market research is about asking the right people the right questions and understanding their answers then quality sample is only a third of the story. Total quality looks beyond the ‘right people’. We present 7 of the most important things for the modern researcher to get right.
Market Research: Today and In the Future
Kristin Cavallaro – Knowledge and Data Analysis Specialist
In partnership with J.D. Power and Associates
ARF Re:Think 2013, March 17-20, New York City
How does understanding the activities of our respondents help us make better research decisions?
Cyborgs vs. Monsters:
Assembling Modular Surveys to Create Complete Datasets
Paul Johnson, Director, Analytics
In partnership with Gongos Research
CASRO Annual Online Research Conference, March 7-8, San Francisco
Today’s on-the-go consumer demands shorter surveys. A modular approach breaks a survey into bite-size pieces. SSI presents two new techniques for combining these pieces into a complete data set suitable for advanced analytics. Shock! Horror! Cyborgs and monsters can be good for research!
Do I Have Your Full Attention?
Pete Cape, Global Knowledge Director
CASRO Annual Online Research Conference, March 7-8, San Francisco
When respondents fail our attention traps we assume they’re not paying attention to our survey. But how do we know that inattention is what we are trapping? SSI’s new original research shows that it is the trap itself that causes the failure—the respondent’s response is entirely normal.
Data Privacy and Data Ownership: What Consumers Really Think
Kristin Cavallaro, Knowledge and Data Analysis Specialist
In partnership with J. D. Power and Associates
CASRO Annual Online Research Conference, March 7-8, San Francisco
What do people in the US, China and India think about protecting their privacy? How do attitudes differ by region? SSI and J.D. Power and Associates collaborated to ask new questions about global attitudes to privacy and their impact on research.
Respondent Rewards: Money for Nothing?
Peter Martin, Account Executive
GOR 13, March 4-6, Mannheim
Rewards are ubiquitous in online research and are generally believed to boost response rates. But response rates in online research are poor, with or without rewards. Is it time to consider the methodological implications of rewarding online respondents less?
