Final answer:
Purposive sampling for grounded theory involves selecting respondents who can provide rich, relevant data, which is a non-random technique focused on achieving deep understanding in specific research contexts.
Step-by-step explanation:
In purposive sampling for grounded theory, respondents are strategically selected based on their potential to provide relevant and rich data for the research. This type of sampling is not random but involved choosing participants who can give insight due to their experiences, position, or knowledge about the topic under investigation.
Different types of sampling methods include simple random sampling, stratified sampling, cluster sampling, systematic sampling, and convenience sampling. Each has its own strengths and applications depending on the research goal. For instance, in stratified sampling, the population is divided into different strata or groups, and participants are randomly selected from each stratum to ensure representation.