Reading Assignment for Section 3.4
Read the following subsection from our online textbook: Section 3.4: Sampling and Generalizability.
What You Will Learn
In this section, you’ll understand the concept of sampling in research, including how to define a population and the challenges of studying an entire population. You’ll learn about the importance of representativeness in selecting a sample that accurately mirrors the population’s characteristics. You’ll gain knowledge of various sampling techniques, both probability and nonprobability sampling, and comprehend their applications, advantages, and limitations. Additionally, you’ll master concepts such as sampling error, sample size, margin of error, and confidence intervals, and understand how these factors influence the accuracy, reliability, and generalizability of research findings.
Student Learning Outcomes for Section 3.4
- SLO 1: Understand the concept of sampling in research, including defining a population, the challenges of studying an entire population, and the importance of representativeness in selecting a sample that accurately mirrors the population’s characteristics.
- SLO 2: Gain knowledge of various sampling techniques, such as probability sampling (including simple random, systematic, stratified, and cluster sampling) and nonprobability sampling (including convenience and quota sampling), and comprehend their applications, advantages, and limitations in research.
- SLO 3: Master the concepts of sampling error, sample size, margin of error, and confidence intervals, understanding their implications for the accuracy and reliability of research findings, and how these factors influence the generalizability of study results to the broader population.
Modification History File Created: 07/25/2024 Last Modified: 07/25/2024
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