I feel like chapter 5 shows some good guidelines not only for a causal analysis paper but with any kind of paper. Such as don’t jump to conclusions and appreciate your limits. Sometimes too much information is just as bad as not enough information. It’s important to back up any research you have done with credible sources and good examples. Causal analyses are good to ask questions and interpret opinion and really make the reader wonder and want to continue learning about the topic. In previous classes when choosing a topic I have often used a topic that I had at least adequate knowledge on. Although other times I have went the more challenging route and chosen a completely new topic in order to learn more about a subject I found interesting and to give a new opinion.
Chapter 70 has some great examples of well outlined papers. These papers show the guidelines went over in chapter 5 and blends them in a way they flow perfectly. The papers have many statements which unless justified would be questionable but, their statements are backed up with research and evidence making it hard to question making it a strong paper. Lastly these were some interesting papers to read and I surprisingly enjoyed them.
That's a great point, Celeste. The chapter is certainly not exclusive to causal analyses. I think the tip that one needs to offer evidence for claims but realize that there may only be plausible evidence rather than hard evidence is especially helpful. Now I know I can write about the existence of UFOs!
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