Combining quote sampling with a random route To ensure that the initial

Combining quote sampling with a random route to

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Combining quote sampling with a random route To ensure that the initial selection of respondents is relatively unbiased, and if a sample is to represent residents of a place, they are not all contacted in one part of it, interviewer can be sent to randomly located starting points and told to follow random route instructions, approaching households at a fixed interval and interviewing until the quotas are full. 9
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Demerits The interviewer’s honesty is greatly strained, particularly if told to call at every 10 th house, because if the house next door seems more likely to fulfil the quota, it will be tempting to include it. Furthermore, this method suffers from the disadvantage of quota sampling in general, that those who are not in the right place at the right time never get included. Snowball samples One way of creating an approximation to a sampling frame for a rare trait in human populations is to ask a number of initial contacts for the names of any other eligible individuals, who are then approached and asked the same question. This has been successfully used for deaf people or unregistered micro-lenders. Ideally, the initial contacts should be randomly located and the trait should be one which leads to a high degree of contact. Demerits Snowball sampling has limited applications but where a researcher felt confident in the enclosed nature of the rare attributes qualifying for inclusion in the sample, and no sampling frame is available, it might be the only feasible method. Conclusion – non-probability samples If a probability sample can be used, that is if a reasonable sampling frame exists or can be created, it is hard to justify using non-probability method. It is impossible to establish the absence or the extent of bias in these methods. 10
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