Statistics - Raw score

About

A (raw|observed) score is the score

• in the original scale.
• not predicted (calculated)
• just observed

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Formula

(Classical test|True score) theory asserts that raw scores are influenced by:

• bias,
• chance error,
• and true scores

<MATH> \href{Raw Score}{Raw\,Score} = \href{True score}{True\,Score} + \href{bias}{Bias}+Error </MATH>

where:

• Raw Score
• True Score is the score in a perfect world
• Bias is a systematic error. Example: An instrument that will always measure with the same difference. It has an effect on the entire distribution (It shift it right or left)
• Error: is also known as Chance error, or random chance error (For example, measurement of body temperature, if someone drink a coffer before measuring its temperature)