Description
It is often not possible or practical to study an entire population, so researchers draw samples from which they make inferences about a population of interest. In quantitative research, where generalization to a population is typically valued, a researcher’s ability to make such inferences is only as good as the sampling method she or he uses to obtain the sample. Although generalization is typically not a goal in qualitative research, sampling is no less important. Indeed, for quantitative, qualitative, and mixed methods research, sampling is a critical aspect of the research process.
With a sampling strategy in mind, attention then turns to collecting data from the sample. Specific methods of data collection produce specific types of data that will answer particular research questions, but not others; so here, too, as covered in previous weeks, the research questions inform the type of data that are needed (numerical or non-numerical) and how the data will be obtained (e.g., interviews, experiments, document analysis, surveys, observations).
For this Discussion, you will consider sampling strategies. You will also explore the strengths and limitation of various methods of data collection and their ethical implications. Last, you will consider measurement reliability and validity in the context of your discipline.
With these thoughts in mind,if your last name starts with A through L, use Position A. If your last name starts with M through Z, use Position B.
Position A: Probability sampling represents the best method for selecting research participants.
Position B: Nonprobability (or purposive) sampling represents the best method for selecting research participants.
Write a restatement of your assigned position. Defend your position with examples and support from the scholarly literature. Next, select a method of data collection and briefly explain its strengths and limitations. Then, identify a potential ethical issue with this method and describe a strategy to address it. Last, explain the relationship between measurement reliability and measurement validity using examples from your discipline.
Be sure to support your Main Issue Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Readings
- Journal Article:Teddlie, C., & Yu, F. (2007). Mixed methods sampling: A typology with examples.Journal of Mixed Methods Research, 1(1), 77–100. doi: 10.1177/2345678906292430
Retrieved from the Walden Library databases. - Journal Article:Onwuegbuzie, A. J., & Collins, K. M. (2007). A typology of mixed methods sampling designs in social science research.The Qualitative Report, 12(2), 281–316. Retrieved fromhttp://nsuworks.nova.edu/tqr/vol12/iss2/9
- Journal Article:Drost, E. A. (2011). Validity and reliability in social science research.Education Research and Perspectives, 38(1), 105–124.
Retrieved from the Walden Library databases. - Website:Walden University: Center for Research Quality. (2015a). Data resources & support: Home. Retrieved fromhttp://academicguides.waldenu.edu/researchcenter/dataresources
Download the “Sources of Data for Research: A Research Primer” document. - Website:Walden University: Center for Research Quality. (2015d). Research resources: Walden University participant pool. Retrieved fromhttp://academicguides.waldenu.edu/researchcenter/resources/participantpool
- Website:Walden University. (2015a). How do I find an article that reports on research that uses a specific methodology? Retrieved fromhttp://academicanswers.waldenu.edu/faq/72633
- Website:Walden University: Writing Center. (2015). Common course assignments: Annotated bibliographies. Retrieved fromhttp://academicguides.waldenu.edu/writingcenter/assignments/annotatedbibliographies
Media
- Price, S. (2015). Annotated bibliographies [Online webinar]. Retrieved fromhttps://waldencss.adobeconnect.com/p7d6uqxv8g3?launcher=false&fcsContent=true&pbMode=normal
Explanation & Answer
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Running Head: DISCUSSION
Discussion
Institutional Affiliation
Date
DISCUSSION
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Position A: Probability sampling represents the best method for selecting research
participants.
Probability sampling is a technique of sampling whereby samples are obtained giving all
the available individuals in the entire population equal chances and opportunities of getting
selected. Sampling is one of the vital steps in a research process (Sandelowski, 2000).
Probability sampling represents a number of techniques that researchers use in selecting samples
in their areas of study. It involves the selection of samples from a population based on the
principles of chance and randomization. Samples thus have known probabilities of getting
selected. Basically, probability sampling utilizes some form of random selection.
There are various ways in carrying out probability sampling. Examples include cluster
sampling, stratified sampling, systematic sampling.
Simple random sampling
Simple random sampling is the simplest sampling method among all .However, it is not
the best efficient method of sampling simply becaus...