Arnold Nina R, Bayen Ute J, Smith Rebekah E
1 Institute for Experimental Psychology, Heinrich-Heine-Universität Düsseldorf, Germany.
Exp Psychol. 2015;62(3):143-52. doi: 10.1027/1618-3169/a000287. Epub 2015 Jan 1.
Hierarchical extensions of multinomial processing tree (MPT) models have been developed to deal with heterogeneity in participants or items. In this study, the beta-MPT model ( J. B. Smith & Batchelder, 2010 ) and the latent-trait approach ( Klauer, 2010 ) were used to estimate individual model parameters for prospective and retrospective components of prospective memory (PM), which requires remembering to perform an action in the future. The data from two experiments investigating the relationship between PM and working memory ( R. E. Smith & Bayen, 2005 , Experiment 1; R. E. Smith, Persyn, & Butler, 2011 ) were reanalyzed using the two hierarchical modeling approaches, both of which provide parameter estimates for individual participants. The results showed a positive correlation of the prospective component of PM with working-memory span and provide the first direct comparisons of the two hierarchical extensions of an MPT model.
多项式加工树（MPT）模型的分层扩展已被开发出来，以处理参与者或项目中的异质性。在本研究中，β-MPT模型（J. B. 史密斯和巴彻尔德，2010年）和潜在特质方法（克劳尔，2010年）被用于估计前瞻性记忆（PM）的前瞻性和回顾性成分的个体模型参数，前瞻性记忆需要记住在未来执行某个动作。使用这两种分层建模方法对两项研究PM与工作记忆之间关系的实验数据（R. E. 史密斯和贝扬，2005年，实验1；R. E. 史密斯、珀辛和巴特勒，2011年）进行了重新分析，这两种方法都能为个体参与者提供参数估计。结果显示，PM的前瞻性成分与工作记忆广度呈正相关，并首次对MPT模型的两种分层扩展进行了直接比较。
