Online strategies versus memory-based strategies in frequency estimation
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Abstract Two kinds of strategies can be distinguished by which people can arrive at a frequency estimate: online strategies and memory-based strategies. Online strategies are based on a frequency record, which is formed during encoding. Subsequent frequency judgements can be directly based on this record. In contrast, when people use memory-based strategies, they base their estimate on a memory sample drawn at the time of judgement. The Strategy Application Model predicts under which conditions online strategies and memory-based strategies are used. This chapter describes an experiment in which one of the key assumptions of the Strategy Application Model is tested regarding the role of cognitive effort on the selection of judgement strategies.
