Explore the theoretical foundations and limitations of significance tests in survey research with our comprehensive overview.
Dynata
Revolutionizing Survey Data Quality in the Age of Artificial Intelligence
Insights professionals must restore trust in market research data while continuing to reduce costs and timelines without sacrificing quality. Used responsibly, AI-assisted tools can help meet these objectives.
By Steven Millman
This article discusses how the online sampling ecosystem favors professional respondents and bad actors. It advocates for a transformative shift towar...
If you can’t trust the data from your research, what’s the point? Most researchers are aware of numerous biases that can affect survey results. Most o...
“You surveyed only N = 1000 respondents. How can these results be representative of the entire country with a population of millions?” If you’ve wonde...
Corrupted data can defeat the missions that drive survey efforts. Bad data can lead executives to invest in the wrong expansion areas, marketing teams...
Today’s consumers are overflowed with product choices, constantly pinging smartphones, and that pot of pasta that is about to boil over. It’s your lif...
We marketing researchers can create quite complex data systems that start to push the limits of formulas in stat textbooks to determine confidence int...
NewtonX
Custom Recruiting: Restoring Trust in Sample Quality
It’s 2022, and the economy is just as uncertain as it was in the historic 2020. Enterprises are rethinking their approach to strategy and streamlining market research effects. According to…
By Sascha Eder
Dynata
Smart Automation for Higher Data Quality
In today’s world, the reduction in time allowed between end of field, production of results and presentation to stakeholders, is often so short that any data quality issues quickly become…
By Pete Cape
The Logit Group
Dependable, Transparent, Representative: The “New Normal” for Sample Quality
Panel sample is what keeps the market research industry going. But as an industry, we are only as good as that sample’s level of quality. We face a wide range…
By Sam Pisani
iMotions
Why Emerging Methods Hold the Keys to Brand Success
Human behavior change has accelerated rapidly over the past two years, the COVID-19 pandemic forcing adaptation, rewiring brains, and forming new habits around everything from food and entertainment to shopping…
By Peter Hartzbech
MR that taps into a deep pool of populations reveals valuable insight.
The Swiss Cheese Model of Pandemic Defense applied to survey fraud.
The importance of validating phone numbers in samples.
Similar to the realm of video streaming services, the MR sample space faces increased fragmentation.
Discussing how to find the right respondents for your market research.
Respondent experience remains key to producing quality sample data.
A discussion on panel sample with market research industry leaders.
The insights industry is facing a global supply shortage.
Layering a quality-control approach produced high-quality data.
The more data we have, the more reliably quality management tools can predict quality and the faster we can prevent fraud.
The three-building blocks you need to master to build a reliable, representative online sample platform.
Observational data is a tempting shortcut for insights but researchers must consider its potential shortfalls
Should we ever be ok with “just good enough” when it comes to phone interviews?
Sample suppliers must increase the transparency of sample recruitment and the use of technology in providing quality sample.
Four years after the provocative article & observations from the insides of the online sample machinery.
More researchers are turning away from massive surveys and are embracing the power of actual conversations
Lack of transparency in sample supply is bad for everyone, thus a sample marketplace can potentially solve many challenges
Technology is both a friend and an enemy when it comes to the problem of sample fraud. Steps must be implemented to combat the problem.
Discussion on the opportunities, hype, and applications of blockchain in MR
3 forward-looking solutions to the issue of sample quality
Help benchmark the views of qualitative researchers and share your experiences on research participant recruitment.
The latest GRIT Report delves into the topic of sample quality, and whether technology is improving the situation or making matters worse.
We have to overcome a common misconception about what mobile research really is, and what it can accomplish.
Sample quality from online panels is an issue everyone knows about but no one wants to address.
Frank Kelly explains how the quality of your research relies on the source of your respondents.
Ron Sellers questions the opinion that research quality is the worst it has ever been. It is an ongoing battle, not a recent development.
Why is nobody here addressing the elephant in the room? It’s not just sample quality. It’s survey quality.
I’ve seen a lot of discussion on various boards and blogs about making surveys more fascinating for respondents, in order to encourage higher response...
by Bill Weylock, Action Insights – First session of my afternoon: relative projectibility and sampling reliability. REI determined that the rising per...
As providers, it is our responsibility to provide quality participants and enable clients to accurately identify good and bad respondents.