Objectivity means that research conclusions are grounded in observable facts, data and logical reasoning rather than in the researcher’s personal opinions or emotions. It requires the use of systematic methods, clear criteria and transparent procedures. When objectivity is high, different competent researchers examining the same data are likely to reach similar conclusions. Therefore, basing findings on evidence rather than preference reflects objectivity.
Option A:
Feasibility refers to the practicality of conducting a study in terms of time, resources and access, and does not directly address whether findings are evidence-based or biased.
Option B:
Generalisability concerns the extent to which results can be applied to populations or settings beyond the sample studied; it depends partly on sampling and design but is distinct from the issue of personal bias.
Option C:
Objectivity encourages researchers to design studies that minimise bias, such as through blinding or standardisation, and to present results honestly regardless of expectations. This commitment to evidence aligns exactly with the stem, making this option correct.
Option D:
Subjectivity emphasises personal perspectives and interpretations, which may be valued in some qualitative approaches but contradict the specific idea of freeing findings from personal preferences described in the question.
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