INTERPRETATION AND REPORT WRITING
LAYOUT OF A RESEARCH REPORT
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Subsidiary Error of Measurement
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Standard Estimation of Measurement
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Standard Error of Measurement
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None of the above
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Detailed explanation-1: -The standard error of measurement (SEm) estimates how repeated measures of a person on the same instrument tend to be distributed around his or her “true” score. The true score is always an unknown because no measure can be constructed that provides a perfect reflection of the true score.
Detailed explanation-2: -The standard error of the mean (SEM) measures how much discrepancy is likely in a sample’s mean compared with the population mean. The SEM takes the SD and divides it by the square root of the sample size.
Detailed explanation-3: -standard error of measurement (SEM), the standard deviation of error of measurement in a test or experiment. It is closely associated with the error variance, which indicates the amount of variability in a test administered to a group that is caused by measurement error.
Detailed explanation-4: -Reliability & Standard Error of Measurement To illustrate this, consider an individual who takes a test 10 times and has a standard deviation of scores of 2. If the test has a reliability coefficient of 0.9, then the standard error of measurement would be calculated as: SEm = s√1-R = 2√1-. 9 = 0.632.