What does robust mean in research?

robust means the findings are not likely to be due to chance alone. When we say a finding is robust, we mean that the results are likely to be valid, regardless of the circumstances under which the data was collected. Robust research methods ensure that the findings are not due to chance alone.

What does robust mean in psychology?

robust means to be resistant to bias or error. In research, robust means to have procedures and methods that are designed to reduce bias and error. Robust strategies include using a large sample size (the more people, the less likely you are to get bad results due to chance), collecting data in a way that removes potential errors (e.g., through online questionnaires rather than face-to-face interviews), and using statistical techniques that help you detect and correct for bias or chance when the

What does robust mean in research method?

Robust findings are those that are not undermined by chance. In other words, when you do research, you are looking for statistical evidence. If your results show that the probability of an effect occurring is lower than what you would expect by chance alone, then your findings are not robust.

What does robust mean in statistics?

Robust statistics is a statistical model that allows for the analysis of data sets with missing values. Researchers using robust statistics are aware that there may be missing data due to failed experiments or poor documentation. Robust statistics allows the modeler to still use the data, even if something is missing. Robust statistics allows for statistical analysis even when there are missing data points.

What does robust mean in math?

Robustness is a statistical property and refers to whether a measure of a variable is an accurate reflection of the true value of the variable. Robustness is especially important when the sample size of the data you have is very small or unevenly distributed.