2013
DOI: 10.1016/j.ssresearch.2012.06.002
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Convenient yet not a convenience sample: Jury pools as experimental subject pools

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Cited by 19 publications
(17 citation statements)
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“…This may have influenced the results, since such variables may affect emotional expression and authenticity (e.g., Dahling & Perez, 2010). Using a convenience sample inevitably limits generalizability, thereby decreasing external validity (Murray, Rugeley, Mitchell, & Mondak, 2013), especially when a sample only comprises individuals who actively come forward to participate (Gravetter & Forzano, 2009). Furthermore, the use of inferential statistics is limited when sampling is not random (Dodge, 2006).…”
Section: Limitations and Future Researchmentioning
confidence: 99%
“…This may have influenced the results, since such variables may affect emotional expression and authenticity (e.g., Dahling & Perez, 2010). Using a convenience sample inevitably limits generalizability, thereby decreasing external validity (Murray, Rugeley, Mitchell, & Mondak, 2013), especially when a sample only comprises individuals who actively come forward to participate (Gravetter & Forzano, 2009). Furthermore, the use of inferential statistics is limited when sampling is not random (Dodge, 2006).…”
Section: Limitations and Future Researchmentioning
confidence: 99%
“…The county randomly selects potential jurors from lists of individuals 18 years old or older who are registered to vote in Lubbock County or who hold a driver’s license or identification card issued by the Texas Department of Public Safety with a Lubbock County address. This selection procedure makes jury pool subjects similar, although not identical, to the adult population in Lubbock County (Murray, Rugeley, Mitchell, & Mondak, 2012). Subjects were recruited to the study through voluntary participation while they awaited assignment to a trial or dismissal.…”
Section: Methodsmentioning
confidence: 99%
“…Online Appendix 1 shows the mean age is 47, just above 60% of the sample is married, and there is significant variation in reported family income with 42% below US$50,000, 39% between US$50,000 and US$100,000, and 19% above US$100,000. Although the jury pool provides subjects from a limited geographic area who do not perfectly match U.S. Census data, there is no question they are vastly more diverse and representative of typical voters than a student sample (Murray et al, 2012). This can be seen in online Appendix 1 where we also compare our sample to a sample of student subjects who participated in a contemporaneous survey project.…”
Section: Methodsmentioning
confidence: 99%
“…Specifically, convenience samples use voluntary participation. Although this is the most common type of sampling in research in the field of Education [56], like other non-probability/non-random techniques, it has the following limitations [58]: (a) convenience samples may be biased because individuals who choose to participate in an experiment may not fully represent the population from which the sample has been selected; (b) when convenience samples are used, it is not possible to estimate the sampling error and the degree of representativeness of the sample because this sampling method does not operate on the principle of randomisation in the selection of elements from the population, and the population parameters' value is generally unknown; and (c) because convenience samples use voluntary participation, this fact increases the likelihood of researchers to recruit those individuals who feel strongly about the issue in question and may favor certain outcomes. Therefore, although this method can produce representative samples, statistical tools cannot be used to ensure sampling representativeness.…”
Section: Samplesmentioning
confidence: 99%