Connecting working and long-term memory: Bayesian-hierarchical multinomial model-based analyses reveal storage next...

Area of Science:

• Cognitive Psychology
• Neuroscience

Background:

• Individual differences in working memory capacity (WMC) are linked to long-term memory (LTM) performance.
• The precise mechanisms underlying this relationship, specifically encoding versus retrieval advantages, remain debated.

Purpose of the Study:

• To investigate whether high-WMC individuals exhibit superior LTM storage or retrieval.
• To examine the role of associative encoding strategies in the WMC-LTM relationship.

Main Methods:

• Utilized Bayesian-hierarchical multinomial modeling to analyze LTM storage and retrieval processes.
• Conducted two experiments involving word list recall and cue-target pair recall tasks.
• Assessed WMC using operation and symmetry complex span tasks.

Main Results:

• Correlations between WMC and LTM processes were observed, particularly when participants were instructed to use associative storage strategies.
• The associative storage advantage replicated when associative processing was inherent to the task, but the retrieval advantage did not.
• Participant strategy reports indicated that high-WMC individuals more effectively employed associative encoding.

Conclusions:

• High-WMC individuals' superior LTM performance is primarily driven by more effective associative encoding strategies, leading to enhanced storage.
• The findings highlight the importance of encoding strategies in mediating the relationship between working memory and long-term memory.