Means-end analysis is a method used for which type of cognitive process?

Means-end analysis is a cognitive strategy used in problem-solving that involves breaking down a complex goal into smaller, more manageable subgoals. This approach enables individuals to systematically address each subgoal, leading to a step-by-step pathway toward achieving the overall objective. By identifying the current state and the desired end state, individuals can determine the means (actions) necessary to bridge this gap.

In practical applications, means-end analysis helps individuals to establish clear priorities and strategies to solve problems effectively. It emphasizes a structured approach to navigating obstacles, which is essential when dealing with intricate tasks or challenges that have multiple components.

The other options focus on different cognitive processes; for instance, memory enhancement through spaced learning involves techniques to improve retention and recall rather than solving problems. Categorizing memories pertains to organizing information for easier recall, and implementing mnemonics relates to specific strategies for memorization rather than the broader framework of solving problems by dissecting goals. Thus, the focus of means-end analysis specifically aligns with the problem-solving cognitive process.