# Research Techniques Including Research Design

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Introduction A sample is a set of data drawn from the population, it is considered as a subset. Populations are defined as the set of all items or individuals of interest. Samples are less time consuming than a census, less costly to administer than a census and it is possible to obtain statistical results of a sufficiently high precision based on samples. There are two types of sampling techniques, probability and non-probability sampling. Probability Sampling A probability sampling method is any method of sampling that utilizes some form of random selection. In order to have a random selection method, you must set up some process or procedure that assures that the different units in your population have equal probabilities of being…show more content…
That does not mean that non-probability samples do not represent the population. But it does mean that nonprobability samples cannot depend upon the rationale of probability theory. At least with a probabilistic sample, we know the odds or probability that we have represented the population well. With nonprobability samples, we may or may not represent the population well and it will b difficult to find out to what extent. We can divide nonprobability sampling methods into three types: convenience, judgement or quota. Most sampling methods are purposive in nature because we usually approach the sampling problem with a specific plan in mind. The most important distinctions among these types of sampling methods are the ones between the different types of purposive sampling approaches. Convenience sampling occurs when the sampling units are selected to suit the convenience of the researcher. Respondents are included in the sample if they happen to be in the right place at the right time. - In a study on employment practices in the textile industry, a researcher may find it more convenient to interview employees within one clothing manufacturing company, instead of employees