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Hello. I'm having a lot of difficulties classifying (via autocoding, or coding manually but efficiently) respondents in a survey (and then going on to make sure the responses are matched up with the correct people). I first tried the steps outlined in the Bazeley & Jackson book (2nd edition) from page 201. I was able to import an Excel spreadsheet easily enough using the Import Dataset wizard, and that resulted in a table where I could see each case in a row, and each column represented one type of data. The Nodes detail view shows that nodes have indeed been created for each case and for each codable column. However, the values as seen in the shown in the sheet have not been matched up to each other. As I understand it, this should happen with the Classify Nodes from Dataset wizard (p. 204), but that doesn't appear to have been implemented yet in the Mac version of NVivo. I was able to assign the classification Respondent to all the cases by selecting them all and using Right-Click > Classification. However, when I try to select all the females, for example, to give them the correct value of the gender attribute, the Get Info command is dimmed out. Does that mean I have to set these attributes one by one? I tried coding thematically some of the answers in the sheet. I was able to select the text, and the nodes I created could be seen in the nodes view, but I suspect that NVivo doesn't actually know to which respondent this applies, since the detail view of the new codes just refers to the name of the spreadsheet I imported. It's a bit confusing to see an imported speadsheet with the data looking OK, but then finding (or suspecting) that it appears to be something akin to a screenshot rather than an actual table of data that the software "understands". I should note here that I'm working with a small sample of my data in order to understand the best way to proceed, so I'm very much prepared to try out anything to better understand how this whole process works. Can anyone offer any tips or information to help me make better sense of how this works? Thanks, Rick NVivo 10.2.2 for Mac