We often forget there is more than one way to talk about averages. Indeed, there are even more than three ways to talk about averages. But, for the most part, these three will do the trick. Let’s take a quick peek at what each of them do and when they should be used.
Are you worried about continually declining response rates? Are you wondering how to make the survey experience more enjoyable for your responders? Watch this webinar and learn whether splitting a long survey into two will help you on both fronts!
Researchers love groups, we love creating groups, we love assigning people to groups, we love charting people in groups. And when your groups are so nicely defined that you can call them a segment, well so much the better! But there are a few problems inherent with segmentation.
All the statistics packages are designed with fancy little features that help you deal with missing data. You can choose to “Exclude cases listwise” or “Exclude cases pairwise.” And if you’re a particularly skilled researcher, you can apply some complicated statistical procedures to impute your missing cases based on the existing data from other people.
For a number of a years now, DIY platforms have been taking a serious hit. Some say they generate poor results. Other say they generate great results. So what is the right answer?
It wasn’t so long ago that Facebook shared the results of some research they conducted showing that when Facebook users were presented with a larger percentage of negative posts, their own posts became more negative. After what turned into a PR nightmare for Facebook, they just announced several new policies in hopes of preventing a similar problem in the future.