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首页> 外文期刊>Quality & Quantity: International Journal of Methodology >Multi-map comparison for group concept mapping: an approach for examining conceptual congruence through spatial correspondence
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Multi-map comparison for group concept mapping: an approach for examining conceptual congruence through spatial correspondence

机译:组概念映射的多地图比较:通过空间信件检查概念同时的方法

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摘要

Group concept mapping, a participatory mixed-methods approach used extensively in behavioral and social research, is used to specify and generate a two-dimensional conceptual model based on input solicited from an identified group. In situations where the systematic evaluation of the multidimensional conceptualized patterns generated by different subgroups is meaningful, little guidance exists. This paper contrasts two analytical approaches, configural similarity comparison and Procrustes comparison, emphasizing the latter as a more rigorous and appropriate technique for facilitating such comparisons. As demonstrated in this study, Procrustes analysis provides a solid statistical and interpretative foundation to measuring the similarity of MDS configurations found in concept mapping output. Paired with a permutation strategy for assessing significance and examination of residual values, Procrustes analysis offers an objective means to evaluate the general concordance of multivariate patterns generated through group concept mapping. Statistical and visual techniques are also used to further explore the specific patterns of residual values generated in the Procrustes comparison. From this demonstration, a procedure for testing the correspondence between multiple two-dimensional concept maps where the same content is considered by independent groups is suggested.
机译:集团概念映射,广泛使用的参与式混合方法方法是在行为和社会研究中使用的方法,用于指定和生成基于从识别的组征集的输入的二维概念模型。在不同子组生成的多维概念化模式的系统评估有意义的情况下,存在很少的指导。本文对比两种分析方法,配置相似性比较和促进比较,将后者强调,作为促进这种比较的更严格和适当的技术。如本研究所示,促进分析为测量概念映射输出中发现的MDS配置的相似性提供了坚实的统计和解释性基础。与评估剩余价值的重要性和检查的置换策略配对,Procrustes分析提供了一种客观手段,可以评估通过组概念映射生成的多变量模式的一般性一致。统计和视觉技术还用于进一步探索在促进比较中产生的残余值的特定模式。从这个演示中,建议了一种测试独立组考虑相同内容的多个二维概念图之间的对应关系的过程。

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