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Hi Jeremy
I'm working on a final-year undergrad assignment that involves data analysis of questionnaire responses by fictional workers at a fictional workplace. We did a pretend EFA (just for practice) and are using the 13 factors originally devised by the authors of the scale (Work Aspect Preference Scale). One of the "workers" gave the same answer to all 52 questions, ("totally unimportant") as well as the same answer to six questions about the best ways to increase productivity ("Do not agree"). My question is, what do researchers generally do with such data? Limited reading I have done suggests the effects of such a response style on the data includes deflating observed means and increasing the magnitude of multivariate relationships. Keeping in mind that my stats knowledge is limited at best, could you give me an idea of whether you would delete this person's data, and why or why not?