This entertaining article quotes several cute examples of how people talk to their dogs while they are out in public. The author, Alexandra Horowitz, is a psychologist who studies dog cognition. She has been recording the snippets of owner-dog conversation she hears as she goes throughout her day. (Most of those doing the talking are the owners.) She shares examples such as "You’re so cute and so smart. And worth money! I could marry you" and "You’ve got a lot to learn! A lot to learn!” and "Don’t even think about it.”
The main body of the article shares the author's categorization system. After jotting down dozens of dog-directed human comments, the author was able to classify them into categories. One category, for example, she titled Cheering Squad, for comments in which the owner is congratulating the dog's behavior. She dubbed another category Mom Commentary, described as, "Eyes on the dog, she sees everything. And she’s gotta talk about it." Another is Perfectly Implausible Instructions, in which owners direct the dog to do impossible things. And there are two other categories in the article: "We've Discussed This" and "Rhetorical Realm".
Read the article to find examples of each of these categories. The author's system provides a clear example of the observational research practices from Chapter 6. The author observed a large set of behaviors. Then she developed a categorization system in order to simplify what she observed.
- This piece is meant to be entertaining. But if the author were to formally study how people talk to their dogs, the next step would involve coming up with clear operational definitions of each of the three categories. Take a look at the article and try your hand at developing operational definitions of Cheering Squad, Mom Commentary, and Perfectly Implausible Instructions. Write clear instructions that would enable a coder to decide which comments go in only one category (and not in the others).
- Test out your operational definitions in the real world. Go out and find some people with dogs, and record some of your own snippets of conversation. Classify each snippet into the categories using your operational definitions, keeping in mind you'll probably need an "other" category.
- A good categorization system requires inter-rater reliability. How would you establish inter-rater reliability for your system? (Hint: You'll need to involve another rater who uses the same categories to categorize the same pieces of conversation.
- Any researcher will tell you how difficult it is to develop a reliable coding system. What issues did you have when you tried this out yourself?