What is the difference between Standard Error of Measurement (SEM) and Standard Error of the Mean (SEM)?

While both involve standard error, SEM (Standard Error of Measurement) quantifies the error associated with an individual's test score, reflecting score consistency. SEM (Standard Error of the Mean) estimates the variability of sample means around the population mean and is used in statistical inference and hypothesis testing, and is calculated by dividing standard deviation by the square root of the sample size.