Sampling Techniques
42 Summary
Researchers simply do not have the resources to draw data from all sources, at all times, and in all places. Therefore, they must make important decisions regarding who or what they will reasonably be able to draw data from. This chapter has focused on sampling methods, including the most popular probabilistic and non-probabilistic techniques. It concluded by discussing the importance of thinking about who is sampled, when, how, and for what purposes, as well as the importance of ensuring your sample actually reflects the population. The next step in the research process is to determine which data collection methods are best to help you answer you research questions. Data collection is the focus of the next chapter, Chapter VIII, Data Collection Methods: Survey Research
References
Arnett, J. J. (2008). The neglected 95%: Why American psychology needs to become less American. American Psychologist, 63, 602–614.
Begley, S. (2010, September 23). The trouble with using undergrads for research. Newsweek. Retrieved from https://www.newsweek.com/trouble-using-undergrads-research-74633
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world Behavioral and Brain Sciences, 33, 61–135.
Palys, T., & Atchison, C. (2014). Research decisions: Quantitative, qualitative, and mixed methods approaches. Toronto, Canada: Nelson Education Ltd.
Schmitz, A. (2012). Principles of sociological inquiry: Qualitative and quantitative methods. Washington, DC: Saylor Academy. Retrieved from https://saylordotorg.github.io/text_principles-of-sociological-inquiry-qualitative-and-quantitative-methods/index.html
