Sampling Procedures
1.) Read the contextual information for this assignment.
In order to conduct a research project, a researcher needs to decide upon an appropriate population of interest. The population of interest in this study is undergraduate CAS majors at___ University.
2.) Write a response to the following sampling procedures describing how each of the following sampling procedures could be used to generate the sample for the study. Discuss the advantages and disadvantages of each sampling procedure.
You are interested in obtaining a sample of 50% females and 50% males. The population of CAS undergraduate majors is made up of 80% females and 20% males. How would you use Stratified Random Sampling to generate your sample? How would you use Quota Sampling to generate your sample?
Describe how you could use the Cluster/Multi-Stage sampling procedure. Be sure to specifically indicate what the various stages of sampling would be, and how you would get the sample at each stage.
Describe how you would use a systematic sampling procedure to generate the sample.
Describe how you would use convenience sampling to generate the sample.
Describe how you would use snowball sampling to generate the sample.
3.) Writing assignment requirements:
450-500 words
12-point font
1-inch margins
double space
4.) Upload your document to this assignment.
Discussing Sampling Procedures for CAS Majors at Penn State University
Your Name
Subject and Section
Professor’s Name
October 2, 2023
For a meaningful discussion on sampling procedures applied to undergraduate CAS majors at Penn State, let's consider the unique gender distribution within this group—80% female and 20% male. Each sampling procedure we'll explore presents advantages and challenges warranting careful consideration.
Stratified Random Sampling
When we talk about Stratified Random Sampling, it's crucial to understand its intention: achieving proportionate representation from each subgroup (Ismail et al., 2022). So, given our CAS population’s composition, how does this play out? If we separate our group into male and female strata and then randomly draw 25 individuals from each, we undoubtedly create an equal gender representation in the sample. However, it’s worth noting this doesn’t mirror the actual distribution within the CAS major.
Quota Sampling
Moving to Quota Sampling, this approach demands that we manually select 25 individuals from each gender subgroup. It's a deliberate method that guarantees gender balance, but, as Smith & Dawber (2019) point out, the non-random aspect could introduce selection bias, often resulting in the selection of individuals who are more available or willing to participate.
Cluster/Multi-Stage Sampling
For Cluster Sampling, imagine dividing our population into smaller groups (clusters) by class year or residence. If we then randomly select some of these clusters and survey all members within them...