What does rigor Morris mean in history

What does rigor Morris mean in history?

In short, to be rigorous means to have a clear, well-researched plan and to stick to it. It means to evaluate your sources thoroughly, looking for multiple primary and secondary sources whenever possible. It means compiling as many primary sources as possible, and then corroborating and supporting your research with them. It also means avoiding bias, whether it be personal bias or an ideological bias.

Some alt

What does rigor mean in computer science?

In computer science, rigor refers to how thoroughly a software developer tests their code. In the history of the field, rigor was used to describe the way historians did research. In the 1980s and 1990s, historians were criticized for not following the latest research methods. This criticism eventually led to a shift in the way history was studied. Today, historians are expected to use proven, research-tested methods.

Some alt

What does rigor mean in psychology?

The word rigor means firmness or stiffness, and it’s most often used to describe the mental attitude that helps us perform better under pressure. People with high levels of rigor tend to be goal-oriented, organized and persistent, and not easily deterred from a challenging task.

Some alt

What does rigor mean in anthropology?

When historians use the term “rigor” in a historical context, they’re usually referring to the degree of methodological or analytical care that a scholar takes when writing about a particular topic. As an example, the historian Shelby Stunt, in an article for the online magazine Slate, uses the term “rigor” to describe the way that she tried to avoid bias when she wrote about the “racist roots of the American South.” She says that she made

Some alt

What does rigor mean in sociology?

From a sociological standpoint, rigorous research is designed to answer questions using the most reliable information available. Researchers must cite the primary sources they use and the way they collected the information. They often use statistical analysis to show whether the data is valid.

Some alt