University of Cambridge, Cambridge, UK.
Assessment. 2019 Dec;26(8):1524-1539. doi: 10.1177/1073191117746501. Epub 2017 Dec 14.
The Elithorn perceptual maze test is widely used in clinical research and practice. However, there is little evidence of its psychometric properties, and its application is limited by the technical difficulty of developing more mazes. The current research aims to adopt a rigorous approach to evaluate 18 mazes that were automatically generated by a novel R software package. Various item response theory models were employed to examine the difficulty parameters. The findings suggested that the data best fitted the Rasch model. The linear logistic test model revealed meaningful contribution to the sources of maze difficulty. Additionally, the linear logistic test model plus error was considered the most parsimonious model. The Automatic Perceptual Maze Test was moderately correlated with a nonverbal intelligence test. By introducing more mazes to provide adequate information on participants' ability at all levels, the Automatic Perceptual Maze Test promises future clinical and research utility for the study of cognitive performance.
爱利托恩感知迷津测验在临床研究和实践中得到了广泛应用。然而，其心理测量学特性的证据很少，其应用受到开发更多迷津的技术难度的限制。本研究旨在采用严格的方法来评估 18 个由新型 R 软件包自动生成的迷津。各种项目反应理论模型被用来检验难度参数。研究结果表明，数据最符合 Rasch 模型。线性逻辑测试模型揭示了迷津难度来源的有意义贡献。此外，线性逻辑测试模型加误差被认为是最简约的模型。自动感知迷津测验与非言语智力测验呈中度相关。通过引入更多的迷津，可以为参与者在各个水平上的能力提供足够的信息，自动感知迷津测验有望在未来的临床和研究中用于认知表现的研究。
