|Spoiler alert: Men get higher ratings for most positive attributes!|
|...while women get higher ratings for negative attributes.|
Out of class, you can use this example to feel sad, especially if you are a female professor and up for tenure.
In class, this leads to obvious discussions about gender and perception and interpersonal judgments. You can also use it to discuss why the x- and y-axes were chosen. You can discuss the archival data analysis used to generate these charts. You can discuss data mining. You can discuss content analysis. You can also discuss between group differences (gender) versus within group differences (academic area).
You could also use this to generate some data for classroom analysis. If you cursor an data point in a chart, you can see the exact number of instances of that word per millions of word of text. You could make your students enter all that data and run a t-test for a specific word, or by an academic area (say, a bunch of positive words just for male and female psychology professors). Or, you could collect data for multiple words AND academic areas and make an ANOVA out of it.