In case you missed it, Jonas Dalege and his colleagues at the PsychoSystems research group have recently published an article in Psychological Review detailing how attitudes can be represented as network graphs. It is all done using R and a dataset that can be downloaded by registering at the ANES ... [Read more...]

In case you missed it, Jonas Dalege and his colleagues at the PsychoSystems research group have recently published an article in Psychological Review detailing how attitudes can be represented as network graphs. It is all done using R and a dataset tha... [Read more...]

You can find the app on iTunes and Google Play. It's a game of trivial pursuits - here's the logo, now tell me the brand. Each item is scored as right or wrong, and the players must take it all very seriously for there is a Facebook page with cheat ... [Read more...]

You can find the app on iTunes and Google Play. It's a game of trivial pursuits - here's the logo, now tell me the brand. Each item is scored as right or wrong, and the players must take it all very seriously for there is a Facebook page with cheat ... [Read more...]

"If our goal as a field is to use data to solve problems, then we need to move away from exclusive dependence on data models and adopt a more diverse set of tools."Leo BreimanStatistical Modeling: The Two CulturesBreiman ends the opening abstract of his "manifesto" to the statistical community ... [Read more...]

"If our goal as a field is to use data to solve problems, then we need to move away from exclusive dependence on data models and adopt a more diverse set of tools."Leo BreimanStatistical Modeling: The Two CulturesBreiman ends the opening abstract of hi... [Read more...]

We have been talking about design thinking in marketing since Tim Brown's Harvard Business Review article in 2008. It might be easy for the data scientist to dismiss the approach as merely a type of brainstorming for new products or services. Yet, desi... [Read more...]

We have been talking about design thinking in marketing since Tim Brown's Harvard Business Review article in 2008. It might be easy for the data scientist to dismiss the approach as merely a type of brainstorming for new products or services. Yet, design issues do arise in data visualization where we ... [Read more...]

Sometimes we force our categories to be mutually exclusive and exhaustive even as the boundaries are blurring rapidly.Of course, I am speaking of cluster analysis and whether it makes sense to force everyone into one and only one of a set of discrete b... [Read more...]

Sometimes we force our categories to be mutually exclusive and exhaustive even as the boundaries are blurring rapidly. Of course, I am speaking of cluster analysis and whether it makes sense to force everyone into one and only one of a set of discrete boxes. Diversity is diverse and requires ... [Read more...]

We run our cluster analysis with great expectations, hoping to uncover diverse segments with contrasting likes and dislikes of the brands they use. Instead, too often, our K-means analysis returns the above graph of parallel lines indicating that the p... [Read more...]

We run our cluster analysis with great expectations, hoping to uncover diverse segments with contrasting likes and dislikes of the brands they use. Instead, too often, our K-means analysis returns the above graph of parallel lines indicating that the pattern of high and low ratings are the same for everyone ... [Read more...]

As shown by the eye tracking lines and circles, there is more on the above screenshot than we can process simultaneously. Visual perception takes time, and we must track where the eye focuses by recording sequence and duration. The "50% off" ... [Read more...]

As shown by the eye tracking lines and circles, there is more on the above screenshot than we can process simultaneously. Visual perception takes time, and we must track where the eye focuses by recording sequence and duration. The "50% off" and the menu items seems to draw the most attention, ... [Read more...]

The nodes have been assigned a color by the author so that the underlying distinctions are more pronounced. Cars that are perceived as Economical (in aquamarine) are not seen as Sporty or Powerful (in cyan). The red edges connecting these attributes in... [Read more...]

The nodes have been assigned a color by the author so that the underlying distinctions are more pronounced. Cars that are perceived as Economical (in aquamarine) are not seen as Sporty or Powerful (in cyan). The red edges connecting these attributes indicate negative relationships. Similarly, a Practical car (in light ... [Read more...]

The node representing "Will Not Stay" draws our focus toward the left side of the following undirected graph. Customers of a health care insurance provider were asked about their intentions to renew at the next sign-up period. We focus on those indicat... [Read more...]

The node representing "Will Not Stay" draws our focus toward the left side of the following undirected graph. Customers of a health care insurance provider were asked about their intentions to renew at the next sign-up period. We focus on those indicating the greatest potential for defection by creating a ... [Read more...]

Structural equation models impose causal order on a set of observations. We start with a measurement model: a list of theoretical constructs and a table assigning what is observed (manifest) to what is hidden (latent). Although it is possible to think ... [Read more...]

Structural equation models impose causal order on a set of observations. We start with a measurement model: a list of theoretical constructs and a table assigning what is observed (manifest) to what is hidden (latent). Although it is possible to think of this assignment as formative rather than reflective, the ... [Read more...]