Step 1: Core logic.
- A perfectly valid measure must also be reliable (if it measures the true construct accurately, it cannot fluctuate randomly). ⇒ (a) true.
- If a measure is unreliable, its random error is high; it cannot consistently capture the construct, so it cannot be valid. ⇒ (b) true.
- Reliability is necessary but not sufficient for validity—one can consistently measure the wrong thing. ⇒ (d) true.
Step 2: Identify the false statement.
- (c) is false: high/“perfect” reliability does not guarantee validity (e.g., a perfectly consistent but mis-calibrated thermometer).
\[
\boxed{(c)}
\]