What is the role of using multiple data sources when SEM is large?

What is the role of using multiple data sources when SEM is large?

• A. Base decisions on multiple data sources to compensate for imprecision
• B. Rely on test scores alone for decisions
• C. Ignore the SEM when making decisions
• D. Use only normed scores to guide decisions

Answer: (A)

When measurement error is a concern, the observed score from one instrument can be unstable. A large standard error of measurement means there’s a lot of imprecision behind that single score, so making decisions based on it alone can lead to incorrect conclusions about a client.

Using multiple data sources helps counteract that imprecision by providing different lenses on the same issue. By triangulating information from additional measures, observations, interviews, classroom or work performance, and collateral records, you build a more reliable picture of the client’s abilities and needs. If several sources converge, your confidence grows; if they diverge, you can examine reliability, potential biases, and gather more data before deciding.

So, base decisions on multiple data sources to compensate for imprecision.