Signal Detection Theory and Single Observation Designs: Methods and Indices for Advertising Recognition Testing
研究了在广告识别测试中，当每个受访者只观测一次时，如何通过汇总数据来估计信号检测理论的记忆准确度参数，并比较了两种方法，为选择合适指标提供指南。
Most marketing applications of signal detection theory (SDT) produce an estimate of the respondent's memory accuracy based on exposure to a number of advertisements. Marketing practitioners, however, are usually more interested in the performance of an individual advertisement, or elements of that ad. Moreover, advertising recognition paradigms are typically limited to single observations per respondent. The authors present and compare two alternative methodologies that estimate SDT parameters for such designs by pooling recognition performance across respondents. They present two simulations that explore the most efficient methodology and suggest guidelines for selecting appropriate accuracy indices.