Emily Moye：Data collection is the hardest and most tedious part of research, and I think all academic feel frustrated during this stage of the process. Data collection for my master’s thesis took over a year, while writing it and analyzing the data it only took about 2-3 months!
When I have been involved in large-scale data collection with 500+ participants, it takes even longer.
数据收集是研究中最困难和最乏味的部分，我认为所有的学者在这个阶段都会感到沮丧。我硕士论文的数据收集花了一年多的时间，而写论文和分析数据只花了2-3个月! 当我参与500多个人的大规模数据收集时，花费的时间更长。
然而，当你在研究生院工作时，关于学术生涯，有几件事要记住。
1. As a doctoral-level researcher, you generally have some help from students, colleagues, or employees, which helps the process.
1. 作为一名博士级别的研究人员，你通常会从学生、同事或员工那里得到一些帮助。
1. Often times, you have multiple projects going on simultaneously, so you may be able to analyze data from one study and also write up another study at the same time. Thus, you aren’t only stuck in the data collection (which can really bog you down!)
通常情况下，你有多个项目同时进行，所以你可以分析一个研究的数据，同时也可以写另一个研究。因此，您不仅限于数据收集(这确实会使您陷入困境!)
2. Sometimes you can also conduct secondary data analyses with national-level datasets. For example, in the US, the CDC and Census Bureau have data sets that researchers can conduct analyses with. (I know that Germany, Canada, South Korea, and the UK also have datasets as well). The benefit of doing this as a junior faculty member is that you can skip the data collection stage and go right into analyses and writing. (However, there is a downside too-- you can’t change the way the items were measured!)
有些时候，你还可以使用国家级数据集进行二次数据分析。例如，在美国，疾病控制与预防中心和人口普查局拥有可供研究人员进行分析的数据集。(我知道德国、加拿大、韩国和英国也有数据集)。作为初级教员这样做的好处是你可以跳过数据收集阶段，直接进入分析和写作。(然而，也有不利的一面——你不能改变测量项目的方式!)
2019-12-05 15:58
