Step 1: Recall the definition.
A measurement scale is reliable when it yields consistent results upon repeated applications under similar conditions (stability and internal consistency).
Step 2: Distinguish from related terms.
- Validity = accuracy/truthfulness (does the scale measure what it should?).
- Generalizability = extent to which findings hold across populations/contexts (a property of study design/inference, not the scale’s repeatability).
Step 3: Eliminate wrong options.
(a) Validity focuses on correctness, not repeatability.
(b) Generalizability is about external validity, not consistency.
(d) Not needed because (c) precisely matches “consistent results on repetition.”
\[
\boxed{(c)}
\]