Sudden Transitions in Attitudes
Sudden Transitions in Attitudes
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DOI：
10.1177/0049124103253773
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发表时间：
2003-11
影响因子：
6.3
通讯作者：
H.L.J. van der Maas;Rogier Kolstein;J. van der Pligt
中科院分区：
文献类型：
--
作者：
H.L.J. van der Maas;Rogier Kolstein;J. van der Pligt
在态度和观点的研究中，动态方法和突变模型都受到了热烈的欢迎。在这篇文章中，作者讨论了一个通用的方法来测试突变模型，并将其应用到动态的姿态形成和变化。首先，通过使用所谓的突变标志，可以获得对突变模型的收敛支持。每一个标志都与态度变化的特定假设有关。其次，拟合随机突变模型的数据，使人们能够进行直接测试的突变模型。对政治态度的大数据集的分析结果支持态度变化的一般突变模型的有效性，在该模型中，态度的转变是参与和信息的函数。目前的研究结果表明，在政治态度的情况下，参与可能与态度。一个更精细的方法来衡量信息和参与的建议。
Both the dynamic approach and catastrophe modeling have been warmly welcomed in research on attitudes and opinions. In this article, the authors discuss a general methodology for testing catastrophe models and apply it to the dynamics of attitude formation and change. First, by making use of the so-called catastrophe flags, converging support for the catastrophe model can be attained. Each flag relates to a specific hypothesis about attitudinal change. Second, fitting stochastic catastrophe models to data enables one to carry out a direct test of catastrophe models. Results of analyzing large data sets on political attitudes support the validity of the general catastrophe model of attitude change in which transitions in attitudes are a function of involvement and information. Present results suggest that in the case of political attitudes, involvement might well be correlated with attitude. A more refined approach to the measurement of information and involvement is suggested.