Correct option is C
Reliability refers to the consistency of scores obtained from a measurement tool over time or across different conditions. A reliable test produces stable and consistent results when repeated under similar conditions. For example, if a student takes the same test multiple times under the same conditions and achieves similar scores, the test is considered reliable. Reliability ensures the accuracy and dependability of the results, making it a critical concept in psychological testing, research, and education.
Information Booster
- Reliability is measured using various statistical methods such as test-retest reliability, inter-rater reliability, and split-half reliability.
- High reliability indicates that a test measures what it is supposed to measure consistently over time.
- It is essential for ensuring the validity of a test, as inconsistent results undermine the credibility of the measurement.
- A test can be reliable but not valid; reliability alone does not confirm that the test measures the intended construct.
- Reliability is crucial in educational assessments, psychological evaluations, and research experiments to ensure replicability.
- Factors such as ambiguous questions, scoring errors, or environmental conditions can affect reliability.
Additional Knowledge
(A) Objectivity of instructions: This refers to the clarity and neutrality of test instructions to minimize subjectivity and bias. While objectivity contributes to reliability, it is not the same as reliability.
(B) Purpose of measurement: This pertains to the goal or intent behind conducting a measurement or test, such as evaluating knowledge, skills, or attitudes. While it influences test design, it is not directly related to reliability.
(D) Uniformity of scoring: This refers to ensuring that all test-takers are scored using the same criteria. While uniform scoring helps maintain fairness and reduces bias, it is a separate concept from reliability.