Sampling and Data Collection in Research
Sampling and Data Collection in Research
Jaleesa Brown
BSHS/435
08/25/2015
Dr. Annette Love
Sampling and Data Collection in Research
Sampling is one of many ways to conduct research in human service. It consist of one or more elements selected from a population. The manner in which we select elements for the sample has enormous implications for the scientific utility of the research based on that sample (Monette, Sullivan, & DeJong, 2011). In order to select a good sample, you must first decide what population you want to get the sample from. If you are not able to retrieve a good sample it can result in inaccurate conclusion.
A major reason for studying samples rather than whole groups is that the whole group is so large that studying it is not feasible (Monette, Sullivan, & DeJong, 2011). For example, if a human service worker wants to learn about pregnant women or some other large group of people it may be hard to study everyone in this group. Another reason for sampling is the information is more accurate from carefully drawn samples, than it would be if you studied the whole group. There are two types of sampling, probability and non-probability.
Probability sampling is a method of sampling that utilizes some form of random selection (Trochim, 2006). This means that the samples are retrieved in a process that gives everyone in the population an equal chance of being selected. There are five different methods of probability sampling which are simple random sampling, stratified sampling, systematic sampling, area sampling and estimating sample size. An example of probability sampling is when the telephone surveys randomly select people to call in order to take the survey.
Non-Probability sampling is when the researcher does not know the probability of each population elements inclusion in the sample (Monette, Sullivan, & DeJong, 2011).There are also five methods of nonprobability which are availability sampling, snowball sampling, quota sampling,
Jaleesa Brown
BSHS/435
08/25/2015
Dr. Annette Love
Sampling and Data Collection in Research
Sampling is one of many ways to conduct research in human service. It consist of one or more elements selected from a population. The manner in which we select elements for the sample has enormous implications for the scientific utility of the research based on that sample (Monette, Sullivan, & DeJong, 2011). In order to select a good sample, you must first decide what population you want to get the sample from. If you are not able to retrieve a good sample it can result in inaccurate conclusion.
A major reason for studying samples rather than whole groups is that the whole group is so large that studying it is not feasible (Monette, Sullivan, & DeJong, 2011). For example, if a human service worker wants to learn about pregnant women or some other large group of people it may be hard to study everyone in this group. Another reason for sampling is the information is more accurate from carefully drawn samples, than it would be if you studied the whole group. There are two types of sampling, probability and non-probability.
Probability sampling is a method of sampling that utilizes some form of random selection (Trochim, 2006). This means that the samples are retrieved in a process that gives everyone in the population an equal chance of being selected. There are five different methods of probability sampling which are simple random sampling, stratified sampling, systematic sampling, area sampling and estimating sample size. An example of probability sampling is when the telephone surveys randomly select people to call in order to take the survey.
Non-Probability sampling is when the researcher does not know the probability of each population elements inclusion in the sample (Monette, Sullivan, & DeJong, 2011).There are also five methods of nonprobability which are availability sampling, snowball sampling, quota sampling,
References: Monette, D. R., Sullivan, T. j., & DeJong, C. R. (2011). Applied Social Research. A Tool for the Human Services (8th Ed.). Retrieved from The University of Phoenix eBook Collection database. Pannucci MD, C. J., & Wilkins MD MS, E. G. (2010, August). Identifying and Avoiding Bias in Research. Plast Reconstr Surg, 126(2), 619-625. Trochim, W. M. (2006). Web Center for Social Research Methods. Retrieved from http://www.socialresearchmethods.net/kb/sampprob.php