What type of samples are often involved in triangulation?

Triangulation involves combining multiple perspectives, methods, or data sources to gain a more comprehensive understanding of a phenomenon. This approach encourages the use of diverse samples that utilize various collection methods to validate findings and enhance the robustness of the research conclusions. By incorporating a range of data types and participant backgrounds, triangulation helps to address potential biases and allows researchers to explore complex issues from multiple angles. This diversity ensures that the results are not overly reliant on a single source or methodology, which could limit the scope and applicability of the findings. Thus, utilizing diverse samples with different collection methods is a key feature of triangulation, making it the correct choice in this context.