![]() War broke out along the 38th parallel on June 25, 1950. Students just learning peace science must learn how scholarship informs data in peace science and how data inform scholarship at the same time they are needing to learn quantitative methods in a chosen software package.Following World War II, in 1948, the Korea Peninsula was divided between a Soviet-backed government in the north and an American-backed government in the south. Graduate students and other beginners in the field face unique challenges associated with these developments. ![]() This is all compounded by changes in technology that treat the creation of the data and the analysis of data as a continuous process in which the contemporary quantitative political scientist is increasingly becoming a computer programmer as well. Researchers may additionally spend too much time reproducing old code for standard information that goes into any dyadic or monadic analysis-like contiguity relationships and democracy-and have to do additional troubleshooting for how these various data sources treat missing data or treat state codes in a manner inconsistent with the more accessible Correlates of War or Gleditsch-Ward state codes. Instead, researchers may end up reusing old code generated in past studies, leaving them to spend time and energy adjusting the sample of states, the temporal domain, and doing whatever additional troubleshooting may arise from this practice. True research reproducibility is best achieved creating data from scratch, though no published guide exists that informs researchers how to do this on their own. ![]() This manuscript tackles a recurring problem for researchers in the peace science community. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |