Systematic error is
A) random error that is often associated with the independent variable
B) consistent error that is generally not associated with the independent variable
C) another name for error variance
D) generally more serious than error variance

Question

Quizplus · Accepted Answer

Systematic error is consistent error that is generally not associated with the independent variable. It can result from flaws in the research design, measurement instruments, or procedures, and can affect the accuracy and validity of the research findings. Random error, on the other hand, is a type of error that is associated with the variability and unpredictability of the data, and may cancel out in the long run with multiple measurements. Error variance is the amount of variability in the data that cannot be explained by the independent variable(s), and is often included in the calculation of the overall variance or standard deviation of the data. While systematic error can be serious if it is not corrected or controlled for, it is not necessarily more serious than error variance, which can also affect the reliability and generalizability of the findings.

Systematic Error Is