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In: Social Issues

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Words 1536

Pages 7

Psychology 341

August 11, 2013

ABSTRACT The present research paper was designed to discuss the different types of sampling methods used to conduct research in the field of Psychology. The sampling techniques included in this paper are probability sampling, non probability sampling, surveys and questionnaires. The use of examples for each type of technique is given to further the understanding of each specific type. Furthermore, some the most important aspects that should considered before selecting a method are outlined in detail.

Sampling Techniques When conducting research, it is almost impossible to study the entire population that we are interested in looking at more in depth. For example, if we were interested in comparing the level of romantic satisfaction among college students in the United States, it would be practically impossible to survey every single person who is attending college in the country. Not only would it take an extremely long time to do so, but it would also be very expensive. That is why researchers will use small samples from the population to gather their data instead. A sample is particularly useful because it allows the researcher to make inferences about a specific population without having to actually survey the entire population (Trochim, 2006). There are several sampling techniques used to gather information about a sample. Some of these include probability sampling, non probability sampling, surveys, and questionnaires. Probability sampling is technique used where the samples are gathered in a process known as random selection. In order to have a random selection method, the researcher must set up some process or procedure that assures that the participants have equal probabilities of being chosen (Trochim, 2006). Some common types of probability sampling that will be discussed are: simple...

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...Sampling techniques: Advantages and disadvantages |Technique |Descriptions |Advantages |Disadvantages | |Simple random |Random sample from whole population|Highly representative if all subjects |Not possible without complete list of | | | |participate; the ideal |population members; potentially uneconomical| | | | |to achieve; can be disruptive to isolate | | | | |members from a group; time-scale may be too | | | | |long, data/sample could change | |Stratified random |Random sample from identifiable |Can ensure that specific groups are |More complex, requires greater effort than | | |groups (strata), subgroups, etc. |represented, even proportionally, in the|simple random; strata must be carefully | | | |sample(s) (e.g., by gender), by |defined | | | |selecting individuals from strata list | ...

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