This post is a continuation of Statistics in the Triad, Part I: Geometric Mean. The two are meant to be read sequentially, since the mathematical elements of the first are an important and inescapable prerequisite for the second. If you already have a working knowledge of the geometric mean, however, and how its use differsContinue reading “Statistics in the Triad, Part II: Log-Ratio Transformation”
Category Archives: Visualization
Statistics in the Triad, Part I: Geometric Mean
The ternary plot, better known in the Cogniverse as a triad, is familiar to users of SenseMaker as a tool for both data collection and data display. Its three vertices usually denote potential attributes, among which respondents can choose in any proportions, to amplify or augment their responses or reactions to some prompt about whichContinue reading “Statistics in the Triad, Part I: Geometric Mean”
Are my eyes tricking me?
In my last post, I gave you a couple of triads and dyads to play with. Part of how I analyze story data is to see if there are statistical differences based on how respondents answer multi-choice questions (e.g., How common is this story?) and demographics (e.g., Primary geographic region where you work). In theContinue reading “Are my eyes tricking me?”
Triads and Dyads
I get asked a lot about what does the story data look like after you have collected it using SenseMaker®. Last year I put together a collector that focused on Employee Satisfaction. It was never released as a project but I had a number of people contribute experiences, both real and made-up. (No, the storiesContinue reading “Triads and Dyads”