Simple random sampling is a common probability sampling technique.
In probability sampling, each individual in the population has the same chance of being selected for the sample. With simple random sampling, individuals are chosen from a list at random, which makes it a probability sampling method.
Other examples of probability sampling are stratified sampling, systematic sampling, and cluster sampling. Examples of nonprobability sampling are convenience sampling, quota sampling, self-selection sampling, snowball sampling, and purposive sampling.
Continue reading: Is simple random sampling probability or nonprobability sampling?
Simple random sampling is one of the most commonly used probability sampling methods.
The most important pros of simple random sampling are:
- Ease of implementation. This method is relatively easy to implement. You don’t have to think about strata (like with stratified sampling) or clusters (like with cluster sampling).
- Representative sample. Simple random sampling provides a representative sample of the population, with each unit having an equal chance of being selected.
- Lack of bias. Because of the random nature of this technique, the risk of research biases is minimized. Researchers can’t influence the selection process.
The most important cons of simple random sampling are:
- Limited flexibility. This sampling method is a fixed-probability sampling method, which means it can’t be adapted to changing circumstances during the sampling process.
- Requirement of a large sample size. This technique typically requires large sample sizes to achieve acceptable levels of precision and accuracy, which can be expensive and time-consuming.
- Difficulty of obtaining a list of entire population. It can be very difficult to obtain an exhaustive list of the entire population. This means some individuals who should be on the list have no chance of ending up in the sample.
Continue reading: What are the pros and cons of simple random sampling?
Systematic sampling is sometimes used in place of simple random sampling because it’s easier to implement.
With systematic sampling, you only draw one random number and then select subjects at regular intervals. This is especially helpful when the population is large.
Continue reading: Why is systematic random sampling sometimes used in place of simple random sampling?
Topics for action research in education are:
- Developing a standards-based grading system to improve students’ understanding of assessment criteria
- Designing a technology-enhanced curriculum to improve student learning outcomes and engagements
- Developing a co-teaching model to improve student outcomes for students with special needs
If you’re looking for even more topic ideas, ask QuillBot’s AI Writer to generate a list of action research topics for you.
Continue reading: What is a list of topics for action research in education?
Examples of action research papers are:
Continue reading: What are examples of action research papers?
The research design is the backbone of your research project. It includes research objectives, the types of sources you will consult (i.e., primary vs secondary), data collection methods, and data analysis techniques.
A thorough and well-executed research design can facilitate your research and act as a guide throughout both the research process and the thesis or dissertation writing process.
Continue reading: What is a research design?
The research process comprises five steps.
Once you’ve written your proposal, you may need your advisor’s approval of your plan before you can dive into the research process.
Continue reading: How many steps make up the research process?
Before you can conduct a research project, you must first decide what topic you want to focus on. In the first step of the research process, identify a topic that interests you. The topic can be broad at this stage and will be narrowed down later.
Do some background reading on the topic to identify potential avenues for further research, such as gaps and points of debate, and to lay a more solid foundation of knowledge. You will narrow the topic to a specific focal point in step 2 of the research process.
Continue reading: What is the first step in the research process?
