This week covers probability and non-probability sampling. Discuss in detail the characteristics of probability and nonprobability sampling. Discuss why researchers would use conditional probability instead of unconditional probability in their study.
Embed course material concepts, principles, and theories (which require supporting citations) in your initial response along with at least one scholarly, peer-reviewed journal article. Keep in mind that these scholarly references can be found in the Saudi Digital Library by conducting an advanced search specific to scholarly references. Use Saudi Electronic University academic writing standards and APA style guidelines.
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Introduction:
In research, sampling is a critical aspect that determines the accuracy and reliability of the study results. Sampling methods can be either probability or non-probability. Probability sampling follows a specific set of rules where each element has an equal chance of being selected, while non-probability sampling does not follow any specific rules. This response will discuss the characteristics of probability and non-probability sampling and why researchers would use conditional probability over unconditional probability.
Characteristics of Probability and Non-Probability Sampling:
Probability sampling is a sampling method that involves selecting a sample from a population using a randomization process. This method ensures that every unit in the population has an equal opportunity of being selected for the sample, and each unit’s selection is independent of the selection of any other unit. Probability sampling is useful when the research study aims to generalize findings to a larger population.
Non-probability sampling, on the other hand, does not involve a random selection process. Instead, non-probability sampling depends on the researcher’s convenience, judgment, or some other criterion that may not be fully representative of the entire population. Non-probability sampling methods are useful when the research study aims to investigate a specific group of individuals or when the research resources are limited.
Why Researchers use Conditional Probability instead of Unconditional Probability:
Researchers prefer to use conditional probability instead of unconditional probability when there is a relationship between variables. Conditional probability calculates the probability of an event occurring given that another event has already occurred. This method is useful when the researcher wants to investigate the relationship between two variables.
For example, if a researcher wants to investigate the probability of students passing a math test given that they attended tutoring sessions, the researcher would use conditional probability. Unconditional probability, on the other hand, calculates the probability of an event occurring without considering any other factors. Unconditional probability is useful when the researcher wants to calculate the overall probability of an event occurring.
Conclusion:
Probability and non-probability sampling are two essential methods of sampling in research. Probability sampling ensures that each unit of the population has an equal chance of being selected, while non-probability sampling relies on the researcher’s judgment. When investigating the relationship between variables, researchers prefer to use conditional probability rather than unconditional probability. This method calculates the probability of an event occurring based on a given factor. Understanding the differences and applications of these sampling methods can help researchers determine which method is best suited for their research study.
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