The consistency of a result or of a measure at different points in time is known as:
(A) Snow ball
(B) Multistage
(C) Simulation
(D) Stability
Correct Ans: (D)
Explanation:
Stability refers to the consistency of a result or measure across different points in time. In research, a measurement must produce the same or similar results when repeated under the same conditions. This ensures that findings are reliable and not influenced by external factors.
For example, if a survey measures audience perception of a news channel, stability ensures that respondents provide similar answers when surveyed again under similar conditions. If results change drastically without any external reason, the measurement lacks stability.
On the other hand, snowball sampling refers to a technique where existing study participants recruit new ones. Multistage sampling involves selecting samples in multiple steps, often combining different sampling methods. Simulation refers to a technique where researchers create models to replicate real-world scenarios.
Since stability directly relates to the consistency of results over time, the correct answer is (D) Stability. Ensuring stability in research strengthens the credibility and reliability of findings, making them more useful for academic and professional studies.
