Question

Random error associated with sampling and randomization are effectively addressed by confidence and hypothesis tests. These methods fail to address systematic errors. Systematic errors come in which of the following forms?
LIST:
A. Confounding bias
B. Information bias
C. Selection bias
D. Direction bias
E. Random bias

• A. A, C and D only
• B. A, B and C only
• C. A, C and E only
• D. B, C and E only

Hint:

Bias = systematic error. Random error decreases with larger samples, but bias requires careful study design.

Answer 1

The Correct Option is B

Step 1: Differentiating Random and Systematic Errors.
- Random errors: Arise from chance variations; can be mitigated by increasing sample size or employing statistical tests.
- Systematic errors (bias): Are consistent, non-random deviations stemming from flaws in study design, data collection, or analysis.

Step 2: Categorizing Systematic Errors.
- Confounding bias: Introduced when an extraneous variable distorts the relationship between an exposure and an outcome.
- Information bias: Results from inaccurate classification or measurement of variables.
- Selection bias: Occurs when the participant selection process yields a sample that does not accurately reflect the intended population.

Step 3: Identifying and Removing Inappropriate Terminology.
- Direction bias: This is not a recognized classification of bias.
- Random bias: This term is conceptually flawed, as bias is inherently systematic, not random.

Step 4: Summary.
Systematic errors encompass confounding bias, information bias, and selection bias.