ACCA Performance Management (F5) Certification Practice Exam

What disadvantage is associated with quota sampling?

1. It is unnecessarily complex

2. It may still be biased for non-selected criteria

3. It takes more time to analyze

4. The sample can be too large

The correct answer is: It may still be biased for non-selected criteria

Quota sampling is a non-probability sampling technique where the researcher ensures equal representation of various subgroups within a population by setting quotas for these groups. While it aims to capture a cross-section of the population, a key disadvantage is that the method may still introduce bias because it relies on the selection of participants who meet certain criteria without random sampling. This means that even though deliberate quotas are established, the sample may not truly reflect the entire population’s diversity. Factors such as the researcher's subjective judgment in selection can lead to overrepresentation or underrepresentation of certain characteristics. Consequently, while the sample appears balanced in terms of the quotas, the underlying population may not be adequately represented, skewing results and potentially leading to inaccurate conclusions. The other options presented do not align with the primary concerns related to quota sampling. Complexity, analysis time, and sample size are not inherent disadvantages of the method; rather, they are issues that can arise in various sampling techniques depending on the context and research design. Thus, the focus on potential bias highlights a fundamental challenge in maintaining the integrity of the sample.