![]() ![]() For example, if you have a matrix question (i.e., a tabular display that uses the same answer options for several items) in which you ask participants to indicate how much they like different colours, then the second row in the. Qualtrics adds a lot of information to some types of questions that make it difficult to recognize the actual content of questions. (R interprets the whole dataframe as text / string because the second row includes characters rather than numbers). csv files cannot be read properly by standard import functions in R (e.g., read.csv() or readr::read_csv()). By adding a second (when using the Qualtrics legacy export option) or even a third row (when using Qualtrics’s current standard way of exporting. Qualtrics adds extra rows at the top of the data file that include more detailed information about the variables. csv files conventionally include either a first row that specifies the names of the columns (e.g., gender, age, etc.) or they directly start with the data. These extra rows cause errors when importing data into R. There are two things that are actually quite annoying for R users: csv files that Qualtrics generates are not very user-friendly when you work with R. csv files into R causes problems and how you can make it work very easily using a function from the package qualtRics. In what follows, I briefly explain why importing Qualtrics’s. csv data from Qualtrics has been rather complicated until recently.
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