Join us in Nashville, Tennessee for CASRO’s Digital Research Conference. Our Chief Research Officer, Annie Pettit, will be presenting a paper on data quality that is not to be missed!
A recent article in the Washington Post made that statement. My brain took a few milliseconds to register its ramifications but along the way, a few thoughts occurred.
What if your research projects are often urgent? What if you’re already an experienced researcher who understands the nuances of sampling? What if your sampling needs are usually straight-forward and by the book? Perhaps a DIY sampling tool is more suited to you.
There’s no such thing as an easy sampling job but there are always things you can do to improve your odds. Here are just a few things you can try.
I was always a big fan of the see-saw when I was a kid, just as long as I wasn’t the person whose butt was slammed into the sand after the other person jumped off. I’m an adult now but I still find myself on the see-saw again. This time, however, it’s a virtual see-saw. You see, I’ve ordered myself a Fitbit Charge HR.
We’ve gathered together five experts on margin of error, some of whom are vehemently opposed or vehemently in favour of using it with non-probability samples, some of whom have developed their own alternative to MOE. Register for what is sure to be a heated discussion among these panelists.