Ch. 6: Tasks & Quizzes

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Q6.1 What types of data were collected as part of Dąbrowska (2019)?







Q6.2 On average, how did the English L2 speakers perform compared to the native speakers in Dąbrowska (2019)?





Q6.3 Did all native speakers perform better than the L2 speakers in the English vocabulary and grammar tests?




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Q6.4 On which repository/repositories can the data be found?






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Q6.5 In which data format are these two files saved?





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Q6.6 Which character is used to separate the values in the file L1_data.csv?






Q6.7 Which character is used to delineate the values?






TipYour turn!

Import both data files from Dąbrowska (2019) using the read.csv function as described above. Save the first as the R object L1.data (as in the example above) and the second as L2.data. Then, answer the following questions.

Q6.8 In the two data files from Dąbrowska (2019), each row corresponds to one participant. How many L1 participants were included in this study?






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Q6.9 How many L2 participants were included in Dąbrowska (2019)’s study?






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Q6.10 Compare the data frames containing the L1 and L2 data. Which dataset contains more variables?




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Q6.11 You have saved the two datasets to your local R environment as L1.data and L2.data. What kind of R objects are L1.data and L2.data? You can find out by using the command class(). It simply takes the name of the object as its only argument.







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Q6.12 Why does the L2 dataset contain the variable NativeLg, but not the L1 dataset?





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