UGC NET Questions (Paper – 1)

Generalisability concerns the extent to which the findings of a particular study can be validly extended beyond the specific sample, setting and time in which the data were collected. High generalisability implies that similar results would likely be obtained in other contexts with comparable conditions. It is closely linked to external validity, which evaluates how well study results apply in real-world situations. Therefore, a statement about how far results may be applied elsewhere refers to the generalisability of the findings.

Option A:
Reliability addresses the consistency of measurement within the study and does not by itself indicate whether results can be extended to other populations or settings. A measure can be reliable in one context but may not generalise to different groups. Hence, reliability is not the correct completion.

Option B:
Generalisability is influenced by factors such as sampling method, sample size, and ecological validity of the research setting. Researchers often discuss limitations on generalisability to avoid overstating the applicability of their results. These concerns match the description in the stem.

Option C:
Standardisation involves using uniform procedures and conditions when administering instruments or conducting experiments, which supports reliability and fairness but is not the same as extending findings to other contexts. Therefore, standardisation is not the best answer.

Option D:
Objectivity refers to freedom from researcher bias in collecting and interpreting data, ensuring that findings are based on evidence rather than personal preferences. While it contributes to the credibility of results, it does not directly describe their scope of application, so objectivity is not appropriate here.