Editing Statistics and Statistical Programming (Spring 2019)
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I have also provided three example planning documents via our Canvas site: | I have also provided three example planning documents via our Canvas site: | ||
* [https://canvas.northwestern.edu/files/6908602/download?download_frd=1 One by public health researcher Mika Matsuzaki] | * [https://canvas.northwestern.edu/files/6908602/download?download_frd=1 One by public health researcher Mika Matsuzaki]. It's missing a measures section. It's also focused on a research context that is probably very different from yours, but try not to get bogged down by that and imagine how you might map the structure of the document to your own work. | ||
* [https://canvas.northwestern.edu/files/6919735/download?download_frd=1 One by Jim Maddock] created as part of a qualifying exam earlier in 2019. Jim doesn't provide dummy tables or anticipated findings/contributions, but he has an especially phenomenal explanation of the conceptual relationships and processes he wants to test. | * [https://canvas.northwestern.edu/files/6919735/download?download_frd=1 One by Jim Maddock] created as part of a qualifying exam earlier in 2019. Jim doesn't provide dummy tables or anticipated findings/contributions, but he has an especially phenomenal explanation of the conceptual relationships and processes he wants to test. | ||
* [https://canvas.northwestern.edu/files/6908606/download?download_frd=1 One provided as an appendix to Gerber and Green's excellent textbook, ''Field Experiments: Design, Analysis, and Interpretation'' (FEDAI)]. It's over-detailed and incredibly long for our purposes, but nevertheless an exemplary approach to planning empirical quantitative research in a careful, intentional way that is worthy of imitation. | * [https://canvas.northwestern.edu/files/6908606/download?download_frd=1 One provided as an appendix to Gerber and Green's excellent textbook, ''Field Experiments: Design, Analysis, and Interpretation'' (FEDAI)]. It's over-detailed and incredibly long for our purposes, but nevertheless an exemplary approach to planning empirical quantitative research in a careful, intentional way that is worthy of imitation. |