• Convenience Sampling: Select students who are easiest to reach. Example: Survey students in a popular café on campus.

• Purposive Sampling: Select students based on specific criteria. Example: Choose students who regularly consume chocolate.

• Snowball Sampling: Existing participants recruit future subjects. Example: Ask initial respondents to refer their friends who like chocolate.

Probability Sampling

• Simple Random Sampling: Every student has an equal chance of being selected. Example: Use a random number generator to select students from a list.

• Stratified Sampling: Divide students into subgroups (strata) based on characteristics like age or gender, then randomly sample from each group. Example: Survey different groups (e.g., chocolate lovers, casual eaters) to see if attitudes differ.

• Cluster Sampling: Divide the population into clusters (e.g., different departments) and randomly select entire clusters. Example: Survey students from randomly chosen departments.