基于红外光谱的银行产品优化联合分析

Justyna Brzezinska-Grabowska, Aneta Rybicka, A. Sagan
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引用次数: 0

摘要

联合测量和分析具有共同的心理测量和统计假设,涉及可加性公理和偏好测量中的双向参考框架。然而,前者的概念在IRT和Rasch测量模型中广泛应用于主体$ $ × $客体优势结构的基本测量中,后者在组合偏好测量模型(即Thurestone案例III和V)以及分解偏好测量模型(经典联合实验和BTL/alpha模拟)中广泛应用于对象$ $ $ × $客体优势结构。这两种传统很少结合在一个测量模型和研究设计中,该模型和研究设计集成了主体$\乘以$客体$\乘以$客体测量(Neubauer 2001)。本文的目的是在波兰银行产品领域采用并比较三种类型的偏好测量模型:1/配对比较和评级量表联合实验,2/基于irt的联合(Rasch和Birnbaum politomous模型)和3/组合Thurstone III/V模型(Bockenholt 2006)。部分价值实用程序用于产品优化和跨估计模型的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IRT-based conjoint analysis in the optimization of banking products
Conjoint measurement and analysis have common underlying psychometric and statistical assumption concerning axioms of additivity and two-way frame of reference in preference measurement. However, whereas the former concept is widely used in fundamental measurement of subject $\times$ object  dominance structures  as in IRT and Rasch measurement models, the latter is utilized in a broad familiy of object $\times$ object dominance structures in both compositional (i.e. Thurestone case III and V) as well as decompositional (classical conjoint experiments and BTL/alpha simulation) preference measurement models. These two traditions are rarely combined in one measurement model and research design that integrates subject $\times$ object $\times$ object measurement (Neubauer 2001). The aim of the paper is to adopt and compare three types of preference measurement models in the area of banking products in Poland:1/ paired-comparisons and rating scale conjoint experiment,2/ IRT-based conjoint (Rasch and Birnbaum politomous models) and 3/ compositional Thurstone III/V models (Bockenholt 2006). Part-worth utilities are used for product optimization and comparison across the estimated models.
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