Description
Week 9 discussion
Discussion: Population and Sampling
Probability and nonprobability are the two general categories of sampling. Probability sampling uses random selection, whereas nonprobability sampling does not. For example, if you wanted to study the effects of divorce on the psychological development of adolescents, you could gather a population of a certain number of adolescents whose parents were divorced.
Then, out of that population, you could randomly select 25 of those people. If you wanted to use nonprobability sampling, you would choose specific people who had met predetermined criteria. Consider your own proposed study: Which of these sampling techniques might be best for your purposes?
In this Discussion, you identify the population, sample, and sampling technique for your study. You then consider ethical or cultural issues related to the population that you should address.
To Prepare:
• Review the Learning Resources on sampling in research and on ethics related to vulnerable populations.
Questions to be answer
1. Restate your research question and your chosen methodological approach.
2. Then, identify the population, sample, and sampling technique that would best address your research question and approach. Justify your choices.
3. What are some ethical and cultural concerns that need to be addressed with this population if studied?
Use the Learning Resources and the NASW Code of Ethics to support your post (i.e., cite and reference).
Methodological approach and Design.
This is a qualitative experimental research design because it is conducted from a scientific approach using variables. It is an appropriate approach for this study because it seeks to gather the data necessary to aid in making improved decisions regarding the use of Mom Mood Booster in managing veterans and rural women with depression.
Here is what the teacher stated below to make correction for the previously paper for Methodological and Design. I hope this help.
This is a non-experimental design. Specifically quasi-experimental design. They selected groups based on meeting a certain status. And then put them into two groups. They did not randomly select the participants.