Task difficulty prediction of figural analogies
Task difficulty prediction of figural analogies
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DOI：
10.1016/j.intell.2016.03.001
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发表时间：
2016-05-01
期刊：
影响因子：
3
通讯作者：
Forthmann, Boris
中科院分区：
文献类型：
--
作者：
Blum, Diego;Holling, Heinz;Forthmann, Boris
本心理测量学研究的目的是解释有关类比推理的认知任务的性能，考虑到在建设过程中的测试图形类比。为此，一般线性逻辑检验模型（LLTM）主要用于数据分析。一个30项测试的图形类比管理的样本422名学生从阿根廷，其中8个项目进行管理沿着的矩阵测试84名参与者大多来自德国。妇女分别占两个样本的77%和76%。有效性和可靠性指标显示可接受的结果。Rasch模型与LLTM项目难度参数的Pearson相关系数r = .89，两个模型的平均预测误差略有不同，组合规则数对项目难度有总体影响（F-（3，F-23）= 15.16，p < .001），效应量eta（2）= .66（大效应）。结果表明，几乎所有的旋转规则是高度影响项目难度。(C)2016 Elsevier Inc. All rights reserved.
The purpose of this psychometric study is to explain performance on cognitive tasks pertaining Analogical Reasoning that were taken into consideration during the construction of a Test of Figural Analogies. For this purpose, a general Linear Logistic Test Model (LLTM) was mainly used for data analysis. A 30-itemed Test of Figural Analogies was administered to a sample of 422 students from Argentina, and eight of these items were administered along with a Matrices Test to 84 participants mostly from Germany. Women represented 77% and 76% of each respective sample. Indicators of validity and reliability show acceptable results. Item difficulties can be predicted by a set of nine Cognitive Operations to a satisfactory extent, as the Pearson correlation between the Rasch model and the LLTM item difficulty parameters r = .89, the mean prediction error is slightly different between the two models, and there is an overall effect of the number of combined rules on item difficulty (F-(3,F-23) = 15.16, p < .001) with an effect size eta(2) = .66 (large effect). Results suggest that almost all rotation rules are highly influential on item difficulty. (C) 2016 Elsevier Inc. All rights reserved.