Final answer:
The key difference is that time-location sampling (TLS) involves choosing specific times and locations to conduct polls whereas respondent-driven sampling (RDS) relies on initial respondents to recruit additional participants. Problems in sampling such as high non-response rates can affect survey accuracy. Suitable sampling methods are vital for reliable results.
Step-by-step explanation:
The difference between time-location sampling (TLS) and respondent-driven sampling (RDS) lies in the methods and purposes each uses to capture a snapshot of a population. TLS is often used in face-to-face public opinion polls and involves selecting specific times and locations where interviews are conducted to ensure a diverse demographic mix. RDS, on the other hand, uses a chain referral system where initial respondents recruit future respondents from among their acquaintances, allowing researchers to reach hidden or hard-to-access populations.
Problems with sampling, such as non-response and the differences in sample size, can significantly affect the accuracy and representativeness of a survey. High non-response rates, as indicated in the scholarly article regarding RDD surveys, can lead to concerns about validity. Increasing the sample size may improve accuracy but only to a certain limit, after which the cost-effectiveness of further increases is minimal, as with the poll sizes of academic organizations compared to commercial polling institutions.
Both TLS and RDS have their advantages and limitations depending on the research objectives and the characteristics of the target population. Identifying the most suitable sampling method is crucial for obtaining reliable and representative results.